{"pageNumber":"449","pageRowStart":"11200","pageSize":"25","recordCount":165459,"records":[{"id":70223698,"text":"sim3478 - 2021 - Altitude of the potentiometric surface in the Mississippi River Valley alluvial aquifer, spring 2020","interactions":[],"lastModifiedDate":"2021-09-13T16:57:52.138458","indexId":"sim3478","displayToPublicDate":"2021-09-13T06:56:23","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3478","displayTitle":"Altitude of the Potentiometric Surface in the Mississippi River Valley Alluvial Aquifer, Spring 2020","title":"Altitude of the potentiometric surface in the Mississippi River Valley alluvial aquifer, spring 2020","docAbstract":"

The purpose of this report is to present a potentiometric-surface map for the Mississippi River Valley alluvial aquifer (MRVA). The source data for the map were groundwater-altitude data from wells measured manually or continuously generally in spring 2020 and from the altitude of the top of the water surface measured generally on April 9, 2020, in rivers in the area.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3478","programNote":"Water Availability and Use Science Program","usgsCitation":"McGuire, V.L., Seanor, R.C., Asquith, W.H., Strauch, K.R., Nottmeier, A.M., Thomas, J.C., Tollett, R.W., and Kress, W.H., 2021, Altitude of the potentiometric surface in the Mississippi River Valley alluvial aquifer, spring 2020: U.S. Geological Survey Scientific Investigations Map 3478, 5 sheets, includes 14-p. pamphlet, https://doi.org/10.3133/sim3478.","productDescription":"Pamphlet: vi, 14p.; 5 Sheets: 30.00 x 46.00 inches or smaller; Data Release; Dataset","numberOfPages":"4","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-119302","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":388770,"rank":9,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"U.S. Geological Survey National Water Information System database","description":"USGS Dataset","linkHelpText":"— USGS water data for the Nation"},{"id":388769,"rank":8,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9CXDIPL","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Datasets used to map the potentiometric surface, Mississippi River Valley alluvial aquifer, spring 2020"},{"id":388768,"rank":7,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3478/sim3478_sheet5.pdf","text":"Sheet 5—Atchafalaya and Deltaic and Chenier Plain MAP regions","size":"6.99 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3478 Sheet 5"},{"id":388762,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3478/coverthb2.jpg"},{"id":388767,"rank":6,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3478/sim3478_sheet4.pdf","text":"Sheet 4—Delta MAP region","size":"4.05 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3478 Sheet 4"},{"id":388763,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3478/sim3478_pamphlet.pdf","text":"Pamphlet","size":"13.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3478 Pamphlet"},{"id":388764,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3478/sim3478_sheet1.pdf","text":"Sheet 1—All Mississippi Alluvial Plain (MAP) regions","size":"14.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3478 Sheet 1"},{"id":388765,"rank":4,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3478/sim3478_sheet2.pdf","text":"Sheet 2—St. Francis and Cache MAP regions","size":"5.02 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3478 Sheet 2"},{"id":388766,"rank":5,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3478/sim3478_sheet3.pdf","text":"Sheet 3—Boeuf and Grand Prairie MAP regions","size":"6.31 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3478 Sheet 3"}],"country":"United States","state":"Arkansas, Illinois, Kentucky, Louisiana, Mississippi, Missouri, Tennessee","otherGeospatial":"Mississippi River Valley Alluvial Aquifer","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.62597656249999,\n 29.152161283318915\n ],\n [\n -88.76953125,\n 28.8831596093235\n ],\n [\n -88.9453125,\n 29.726222319395504\n ],\n [\n -90.439453125,\n 30.751277776257812\n ],\n [\n -90,\n 33.247875947924385\n ],\n [\n -88.857421875,\n 35.17380831799959\n ],\n [\n -88.59374999999999,\n 36.421282443649496\n ],\n [\n -89.12109375,\n 37.43997405227057\n ],\n [\n -90.1318359375,\n 37.26530995561875\n ],\n [\n -91.318359375,\n 35.10193405724606\n ],\n [\n -91.845703125,\n 32.84267363195431\n ],\n [\n -91.8896484375,\n 31.87755764334002\n ],\n [\n -92.2412109375,\n 29.99300228455108\n ],\n [\n -91.62597656249999,\n 29.152161283318915\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Nebraska Water Science Center
U.S. Geological Survey
5231 South 19th Street
Lincoln, NE 68512

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2021-09-13","noUsgsAuthors":false,"publicationDate":"2021-09-13","publicationStatus":"PW","contributors":{"authors":[{"text":"McGuire, Virginia L. 0000-0002-3962-4158 vlmcguir@usgs.gov","orcid":"https://orcid.org/0000-0002-3962-4158","contributorId":404,"corporation":false,"usgs":true,"family":"McGuire","given":"Virginia","email":"vlmcguir@usgs.gov","middleInitial":"L.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":822369,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Seanor, Ronald C. 0000-0001-5735-5580","orcid":"https://orcid.org/0000-0001-5735-5580","contributorId":218443,"corporation":false,"usgs":true,"family":"Seanor","given":"Ronald","email":"","middleInitial":"C.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":822370,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Asquith, William H. 0000-0002-7400-1861 wasquith@usgs.gov","orcid":"https://orcid.org/0000-0002-7400-1861","contributorId":1007,"corporation":false,"usgs":true,"family":"Asquith","given":"William","email":"wasquith@usgs.gov","middleInitial":"H.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":822371,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Strauch, Kellan R. 0000-0002-7218-2099","orcid":"https://orcid.org/0000-0002-7218-2099","contributorId":208562,"corporation":false,"usgs":true,"family":"Strauch","given":"Kellan R.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":822372,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nottmeier, Anna M. 0000-0002-0205-0955 anottmeier@usgs.gov","orcid":"https://orcid.org/0000-0002-0205-0955","contributorId":5283,"corporation":false,"usgs":true,"family":"Nottmeier","given":"Anna","email":"anottmeier@usgs.gov","middleInitial":"M.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":822373,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thomas, Judith C. 0000-0001-7883-1419","orcid":"https://orcid.org/0000-0001-7883-1419","contributorId":202706,"corporation":false,"usgs":true,"family":"Thomas","given":"Judith","email":"","middleInitial":"C.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":822374,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tollett, Roland W. 0000-0002-4726-5845 rtollett@usgs.gov","orcid":"https://orcid.org/0000-0002-4726-5845","contributorId":1896,"corporation":false,"usgs":true,"family":"Tollett","given":"Roland","email":"rtollett@usgs.gov","middleInitial":"W.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":822375,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kress, Wade H. 0000-0002-6833-028X","orcid":"https://orcid.org/0000-0002-6833-028X","contributorId":223007,"corporation":false,"usgs":true,"family":"Kress","given":"Wade H.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":822376,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70248974,"text":"70248974 - 2021 - Synchronous emplacement of the anorthosite xenolith-bearing Beaver River diabase and one of the largest lava flows on Earth","interactions":[],"lastModifiedDate":"2023-09-27T11:59:24.552923","indexId":"70248974","displayToPublicDate":"2021-09-13T06:52:42","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Synchronous emplacement of the anorthosite xenolith-bearing Beaver River diabase and one of the largest lava flows on Earth","docAbstract":"

New geochronologic and paleomagnetic data from the North American Midcontinent Rift (MCR) reveal the synchronous emplacement of the Beaver River diabase, the anorthosite xenoliths within it, and the Greenstone Flow—one of the largest lava flows on Earth. A U-Pb zircon date of 1091.83 \"urn:x-wiley:15252027:media:ggge22632:ggge22632-math-0001\" 0.21 Ma (2\"urn:x-wiley:15252027:media:ggge22632:ggge22632-math-0002\") from one of the anorthosite xenoliths is consistent with the anorthosite cumulate forming as part of the MCR and provides a maximum age constraint for the Beaver River diabase. Paired with the minimum age constraint of a cross-cutting Silver Bay intrusion (1091.61 \"urn:x-wiley:15252027:media:ggge22632:ggge22632-math-0003\" 0.14 Ma; 2\"urn:x-wiley:15252027:media:ggge22632:ggge22632-math-0004\"), these data tightly bracket the age of the Beaver River diabase to be 1091.7 \"urn:x-wiley:15252027:media:ggge22632:ggge22632-math-0005\" 0.2 Ma (95% CI), coeval with the eruption of the Greenstone Flow (1091.59 \"urn:x-wiley:15252027:media:ggge22632:ggge22632-math-0006\" 0.27 Ma; 2\"urn:x-wiley:15252027:media:ggge22632:ggge22632-math-0007\")—which is further supported by indistinguishable tilt-corrected paleomagnetic pole positions. Geochronological, paleomagnetic, mineralogical and geochemical data are consistent with a hypothesis that the Beaver River diabase was the feeder system for the Greenstone Flow. The large areal extent of the intrusives and large estimated volume of the volcanics suggest that they represent a rapid and voluminous ca. 1,092 Ma magmatic pulse near the end of the main stage of MCR magmatism.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2021GC009909","usgsCitation":"Zhang, Y., Swanson-Hysell, N.L., Schmitz, M.D., Miller, J.D., and Avery, M.S., 2021, Synchronous emplacement of the anorthosite xenolith-bearing Beaver River diabase and one of the largest lava flows on Earth: Geochemistry, Geophysics, Geosystems, v. 22, no. 10, e2021GC009909, 22 p., https://doi.org/10.1029/2021GC009909.","productDescription":"e2021GC009909, 22 p.","ipdsId":"IP-129694","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":450832,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1029/2021gc009909","text":"External Repository"},{"id":421243,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan, Minnesota","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -89.90577234555566,\n 48.06224901293339\n ],\n [\n -91.07032312680569,\n 48.01817567781583\n ],\n [\n -92.30079187680585,\n 47.41949253986752\n ],\n [\n -92.67432703305536,\n 46.934088430510485\n ],\n [\n -92.42164148618046,\n 46.678416429667834\n ],\n [\n -91.79542078305555,\n 46.663339052891985\n ],\n [\n -90.2282388480374,\n 46.33984071282008\n ],\n [\n -88.52149500180556,\n 46.94909012060117\n ],\n [\n -87.75584248312727,\n 47.553729299542994\n ],\n [\n -87.46099845631785,\n 48.31365303404988\n ],\n [\n -87.78288626075643,\n 48.818624883339\n ],\n [\n -88.2158152170627,\n 48.78531971959853\n ],\n [\n -88.98592529428336,\n 48.68686039499511\n ],\n [\n -89.36852550678222,\n 48.46528639990822\n ],\n [\n -89.90577234555566,\n 48.06224901293339\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"22","issue":"10","noUsgsAuthors":false,"publicationDate":"2021-10-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Zhang, Yiming 0000-0002-1407-302X","orcid":"https://orcid.org/0000-0002-1407-302X","contributorId":330186,"corporation":false,"usgs":false,"family":"Zhang","given":"Yiming","email":"","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":884401,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swanson-Hysell, Nicholas L. 0000-0003-3215-4648","orcid":"https://orcid.org/0000-0003-3215-4648","contributorId":330223,"corporation":false,"usgs":false,"family":"Swanson-Hysell","given":"Nicholas","email":"","middleInitial":"L.","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":884402,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmitz, Mark D.","contributorId":292886,"corporation":false,"usgs":false,"family":"Schmitz","given":"Mark","email":"","middleInitial":"D.","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":884403,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, James D.","contributorId":330239,"corporation":false,"usgs":false,"family":"Miller","given":"James","email":"","middleInitial":"D.","affiliations":[{"id":55466,"text":"University of Minnesota, Duluth","active":true,"usgs":false}],"preferred":false,"id":884404,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Avery, Margaret Susan 0000-0002-8504-7072","orcid":"https://orcid.org/0000-0002-8504-7072","contributorId":329991,"corporation":false,"usgs":true,"family":"Avery","given":"Margaret","email":"","middleInitial":"Susan","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":884405,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70226194,"text":"70226194 - 2021 - First record of Najas marina (Hydrocharitaceae) for Montana and an update on the North American distribution","interactions":[],"lastModifiedDate":"2021-11-16T12:41:33.938688","indexId":"70226194","displayToPublicDate":"2021-09-13T06:39:15","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9916,"text":"Phytoneuron","active":true,"publicationSubtype":{"id":10}},"title":"First record of Najas marina (Hydrocharitaceae) for Montana and an update on the North American distribution","docAbstract":"Three recent collections of Najas marina (spiny water-nymph) from Missoula County, Montana are documented and illustrated. These collections are the first records for Montana and for the Pacific Northwest region. The occurrence of N. marina in Montana reflects a significant northward expansion of this species in the Mountain West. The North American distribution of this species is also updated.","language":"English","publisher":"Phytoneuron","usgsCitation":"Freeman, S.L., and Pfingsten, I., 2021, First record of Najas marina (Hydrocharitaceae) for Montana and an update on the North American distribution: Phytoneuron, v. 51, p. 1-7.","productDescription":"7 p.","startPage":"1","endPage":"7","ipdsId":"IP-129148","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":391725,"type":{"id":15,"text":"Index Page"},"url":"https://www.phytoneuron.net/wp-content/uploads/2021/09/51PhytoN-Najasmarina.pdf"},{"id":391732,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"North America","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -127.79296875,\n 5.61598581915534\n ],\n [\n -58.71093750000001,\n 5.61598581915534\n ],\n [\n -58.71093750000001,\n 50.958426723359935\n ],\n [\n -127.79296875,\n 50.958426723359935\n ],\n [\n -127.79296875,\n 5.61598581915534\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"51","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Freeman, Scott L. 0000-0002-4580-8885","orcid":"https://orcid.org/0000-0002-4580-8885","contributorId":268867,"corporation":false,"usgs":false,"family":"Freeman","given":"Scott","email":"","middleInitial":"L.","affiliations":[{"id":55706,"text":"Montana Fish, Wildlife & Parks Aquatic Invasive Species Monitoring Program","active":true,"usgs":false}],"preferred":false,"id":826838,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pfingsten, Ian 0000-0002-9456-9905","orcid":"https://orcid.org/0000-0002-9456-9905","contributorId":213997,"corporation":false,"usgs":true,"family":"Pfingsten","given":"Ian","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":826839,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70225650,"text":"70225650 - 2021 - Isolating detrital and diagenetic signals in magnetic susceptibility records from methane-bearing marine sediments","interactions":[],"lastModifiedDate":"2021-10-29T13:53:44.169617","indexId":"70225650","displayToPublicDate":"2021-09-12T08:48:11","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Isolating detrital and diagenetic signals in magnetic susceptibility records from methane-bearing marine sediments","docAbstract":"

Volume-dependent magnetic susceptibility (κ) is commonly used for paleoenvironmental reconstructions in both terrestrial and marine sedimentary environments where it reflects a mixed signal between primary deposition and secondary diagenesis. In the marine environment, κ is strongly influenced by the abundance of ferrimagnetic minerals regulated by sediment transport processes. Post-depositional alteration by H2S, however, can dissolve titanomagnetite, releasing reactive Fe that promotes pyritization and subsequently decreases κ. Here, we provide a new approach for isolating the detrital signal in κ and identifying intervals of diagenetic alteration of κ driven by organoclastic sulfate reduction (OSR) and the anaerobic oxidation of methane (AOM) in methane-bearing marine sediments offshore India. Using the correlation of a heavy mineral proxy from X-ray fluorescence data (Zr/Rb) and κ in unaltered sediments, we predict the primary detrital κ signal and identify intervals of decreased κ, which correspond to increased total sulfur content. Our approach is a rapid, high-resolution method that can identify overprinted κ resulting from pyritization of titanomagnetite due to H2S production in marine sediments. In addition, total organic carbon, total sulfur, and authigenic carbonate δ13C measurements indicate that both OSR and AOM can drive the observed κ loss, but AOM drives the greatest decreases in κ. Overall, our approach can enhance paleoenvironmental reconstructions and provide insight into paleo-positions of the sulfate-methane transition zone, past enhancements of OSR or paleo-methane seepage, and the role of detrital iron oxide minerals on the marine sediment sulfur sink, with consequences influencing the development of chemosynthetic biological communities at methane seeps.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2021GC009867","usgsCitation":"Johnson, J.P., Phillips, S.C., Clyde, W., Giosan, L., and Torres, M.E., 2021, Isolating detrital and diagenetic signals in magnetic susceptibility records from methane-bearing marine sediments: Geochemistry, Geophysics, Geosystems, v. 22, no. 9, e2021GC009867, 21 p., https://doi.org/10.1029/2021GC009867.","productDescription":"e2021GC009867, 21 p.","ipdsId":"IP-129227","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":450835,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2021gc009867","text":"Publisher Index Page"},{"id":391152,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Krishna-Godavari Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 86.8798828125,\n 21.12549763660628\n ],\n [\n 80.6396484375,\n 16.003575733881327\n ],\n [\n 80.37597656249999,\n 14.221788628397572\n ],\n [\n 79.8486328125,\n 10.790140750321738\n ],\n [\n 87.5390625,\n -0.04394530819134536\n ],\n [\n 92.63671875,\n 2.1967272417616712\n ],\n [\n 94.130859375,\n 7.972197714386879\n ],\n [\n 96.416015625,\n 10.617418067950293\n ],\n [\n 95.09765625,\n 15.241789855961722\n ],\n [\n 93.955078125,\n 16.551961721972525\n ],\n [\n 94.21875,\n 18.22935133838668\n ],\n [\n 92.021484375,\n 20.756113874762082\n ],\n [\n 86.8798828125,\n 21.12549763660628\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 73.740234375,\n -1.5818302639606454\n ],\n [\n 72.99316406249999,\n 15.623036831528264\n ],\n [\n 70.751953125,\n 19.518375478601566\n ],\n [\n 65.830078125,\n 19.062117883514652\n ],\n [\n 65.2587890625,\n 9.709057068618208\n ],\n [\n 62.75390625,\n 0.4394488164139768\n ],\n [\n 68.9501953125,\n -2.591888984149953\n ],\n [\n 73.740234375,\n -1.5818302639606454\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"22","issue":"9","noUsgsAuthors":false,"publicationDate":"2021-09-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Johnson, Joel P. L.","contributorId":138502,"corporation":false,"usgs":false,"family":"Johnson","given":"Joel","email":"","middleInitial":"P. L.","affiliations":[{"id":12430,"text":"University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":826063,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Phillips, Stephen C. 0000-0003-0858-4701","orcid":"https://orcid.org/0000-0003-0858-4701","contributorId":268177,"corporation":false,"usgs":true,"family":"Phillips","given":"Stephen","email":"","middleInitial":"C.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":826064,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clyde, William","contributorId":268178,"corporation":false,"usgs":false,"family":"Clyde","given":"William","email":"","affiliations":[{"id":12667,"text":"University of New Hampshire","active":true,"usgs":false}],"preferred":false,"id":826065,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Giosan, Liviu","contributorId":147870,"corporation":false,"usgs":false,"family":"Giosan","given":"Liviu","email":"","affiliations":[],"preferred":false,"id":826066,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Torres, Marta E.","contributorId":196035,"corporation":false,"usgs":false,"family":"Torres","given":"Marta","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":826067,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70243718,"text":"70243718 - 2021 - Modeling watershed carbon dynamics as affected by land cover change and soil erosion","interactions":[],"lastModifiedDate":"2024-05-16T15:35:29.430932","indexId":"70243718","displayToPublicDate":"2021-09-11T08:50:00","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Modeling watershed carbon dynamics as affected by land cover change and soil erosion","docAbstract":"

Process-based ecosystem carbon cycle models typically incorporate vegetation growth, vegetation mortality, and soil respiration as well as the biotic and environmental drivers that influence these variables. However, few spatially explicit process models can efficiently incorporate the influence of land cover change and carbon lateral movement at regional scales or high spatial resolution. This study uses the Land Use and Carbon Scenario Simulator (LUCAS) to demonstrate the development of a fast ecosystem model that not only considers the basic carbon cycle but also incorporates the impact of land cover change, soil erosion, and soil deposition. As input to the LUCAS modeling framework, we used the integrated biosphere simulator (IBIS) to simulate a non-spatial reference carbon cycling scenario without considering land cover change for the Nisqually River watershed in the northwestern United States. We then used the Land Change Monitoring, Assessment, and Projection (LCMAP) remotely sensed 30-m sequential land cover data to generate annual land change history for the Nisqually River area from 1985 to 2017 and used the Unit Stream Powered Erosion and Deposition model (USPED) to estimate annual soil carbon lateral movement. Finally, we combined the annual carbon outputs from IBIS, the land change history from LCMAP, and the soil erosion and deposition from USPED within the LUCAS simulation framework. Results showed that from 1985 to 2017, along with the dynamic land cover changes, total ecosystem biomass carbon increased from 11.4 to 18.6 TgC, mainly due to forest growth. Total ecosystem soil carbon declined from 31.7 to 29.7 TgC, but the overall loss in soil carbon was not uniform across land cover types. Forestland (forest sector) and grassland lost carbon, while wetland, developed land and agricultural land gained carbon. Forest, grassland, and developed land lost 0.0553 TgC during the study period (1.73 Gg of C per year; 1 Gg = 0.001 Tg) from erosion, while wetland gained 0.0071 TgC (0.22 Gg C per year) from deposition. Agricultural land was neutral in terms of soil erosion.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2021.109724","usgsCitation":"Liu, J., Sleeter, B.M., Selmants, P., Diao, J., Zhou, Q., Worstell, B., and Moritsch, M.M., 2021, Modeling watershed carbon dynamics as affected by land cover change and soil erosion: Ecological Modelling, v. 459, 109724, 11 p., https://doi.org/10.1016/j.ecolmodel.2021.109724.","productDescription":"109724, 11 p.","ipdsId":"IP-129044","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":450838,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolmodel.2021.109724","text":"Publisher Index Page"},{"id":436201,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9A27GFH","text":"USGS data release","linkHelpText":"Simulated Nisqually River Watershed 30-m resolution 2017 ecosystem carbon variables from the LUCAS model"},{"id":417208,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Nisqually River watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -123.16253640390157,\n 47.168168689027254\n ],\n [\n -123.16253640390157,\n 46.28394294633836\n ],\n [\n -121.7181395192194,\n 46.28394294633836\n ],\n [\n -121.7181395192194,\n 47.168168689027254\n ],\n [\n -123.16253640390157,\n 47.168168689027254\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"459","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Liu, Jinxun 0000-0003-0561-8988 jxliu@usgs.gov","orcid":"https://orcid.org/0000-0003-0561-8988","contributorId":3414,"corporation":false,"usgs":true,"family":"Liu","given":"Jinxun","email":"jxliu@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":873045,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sleeter, Benjamin M. 0000-0003-2371-9571 bsleeter@usgs.gov","orcid":"https://orcid.org/0000-0003-2371-9571","contributorId":3479,"corporation":false,"usgs":true,"family":"Sleeter","given":"Benjamin","email":"bsleeter@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":873046,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Selmants, Paul C. 0000-0001-6211-3957 pselmants@usgs.gov","orcid":"https://orcid.org/0000-0001-6211-3957","contributorId":192591,"corporation":false,"usgs":true,"family":"Selmants","given":"Paul","email":"pselmants@usgs.gov","middleInitial":"C.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":873047,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Diao, Jiaojiao","contributorId":305505,"corporation":false,"usgs":false,"family":"Diao","given":"Jiaojiao","email":"","affiliations":[{"id":33416,"text":"Nanjing Forestry University, China","active":true,"usgs":false}],"preferred":false,"id":873048,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zhou, Qiang 0000-0002-1282-8177","orcid":"https://orcid.org/0000-0002-1282-8177","contributorId":265886,"corporation":false,"usgs":false,"family":"Zhou","given":"Qiang","affiliations":[{"id":54817,"text":"AFDS, contractor to U.S. Geological Survey","active":true,"usgs":false}],"preferred":false,"id":873049,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Worstell, Bruce 0000-0001-8927-3336","orcid":"https://orcid.org/0000-0001-8927-3336","contributorId":305506,"corporation":false,"usgs":false,"family":"Worstell","given":"Bruce","affiliations":[{"id":66235,"text":"SGT Inc. Contractor to USGS EROS","active":true,"usgs":false}],"preferred":false,"id":873050,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Moritsch, Monica Mei Jeen 0000-0002-3890-1264","orcid":"https://orcid.org/0000-0002-3890-1264","contributorId":225210,"corporation":false,"usgs":true,"family":"Moritsch","given":"Monica","email":"","middleInitial":"Mei Jeen","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":873051,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70226208,"text":"70226208 - 2021 - Foraging behavior in a generalist snake (brown treesnake, Boiga irregularis) with implications for avian reintroduction and recovery","interactions":[],"lastModifiedDate":"2021-11-17T13:58:59.105732","indexId":"70226208","displayToPublicDate":"2021-09-11T07:50:36","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9922,"text":"Applied Animal Behavior Science","active":true,"publicationSubtype":{"id":10}},"title":"Foraging behavior in a generalist snake (brown treesnake, Boiga irregularis) with implications for avian reintroduction and recovery","docAbstract":"

Broad foraging classifications, such as generalist or specialist forager, are generally beneficial for population management in defining expectations of typical behavior. However, better understanding as to how individual variance in behavior interfaces with management actions, such as control of an invasive predator (such as brown treesnakes; Boiga irregularis) responsible for ecological collapse of a taxonomic group (birds), may affect conservation goals. In the context of predator control, better understanding of foraging ecology and prey specificity helps to ensure that food-based control programs are removing the target individuals. We sought to quantify whether differences in a dietary generalist snake species was measurable during captive trials using mice or birds as the prey choice. We presented snakes with prey choices that could be or are integrated with tools deployed by managers for control to directly relate choice or preference to management action. We collected wild brown treesnakes and classified them as bird eaters or of unknown diet based on food items present in their digestive tract at the time of capture. In experimental tests, we used live birds and live mice in traps, as well as bird and mouse carrion presented on platforms, to measure interest, take rates, and repeatability (preference) by snakes. We found that all individuals spent more time investigating live birds than they did mice, independent of dietary history, which resulted in twice as many snakes being captured in traps with live birds compared to live mice. There was, however, roughly equal interest in mouse and bird carrion. Within individuals, there was evidence for decreased interest in mouse carrion, if individuals ate birds in the wild. Choice of carrion type was repeatable across trials, suggesting preference may exist. Overall, interest in both live mice and mouse carrion was greatest for medium-bodied snakes, while interest in bird carrion was independent of snake size. Our results indicate that management of invasive predators, including reptiles, may more rapidly achieve conservation targets when managers consider individual heterogeneity in behavior. For brown treesnakes more interested in birds, managers may remove more snakes if they use avian food lures; increased removal of avian specialists may facilitate avian recovery.


","language":"English","publisher":"Elsevier","doi":"10.1016/j.applanim.2021.105450","usgsCitation":"Nafus, M.G., Xiong, P.X., Paxton, E.H., Yackel Adams, A.A., and Goetz, S.M., 2021, Foraging behavior in a generalist snake (brown treesnake, Boiga irregularis) with implications for avian reintroduction and recovery: Applied Animal Behavior Science, v. 243, 105450, 8 p., https://doi.org/10.1016/j.applanim.2021.105450.","productDescription":"105450, 8 p.","ipdsId":"IP-122003","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"links":[{"id":450841,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.applanim.2021.105450","text":"Publisher Index Page"},{"id":436202,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9IPLH58","text":"USGS data release","linkHelpText":"Data on dietary preference by brown treesnakes on Guam"},{"id":391795,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"243","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Nafus, Melia G. 0000-0002-7325-3055 mnafus@usgs.gov","orcid":"https://orcid.org/0000-0002-7325-3055","contributorId":197462,"corporation":false,"usgs":true,"family":"Nafus","given":"Melia","email":"mnafus@usgs.gov","middleInitial":"G.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":826875,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Xiong, Peter X.","contributorId":268881,"corporation":false,"usgs":false,"family":"Xiong","given":"Peter","email":"","middleInitial":"X.","affiliations":[],"preferred":false,"id":826876,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Paxton, Eben H. 0000-0001-5578-7689","orcid":"https://orcid.org/0000-0001-5578-7689","contributorId":19640,"corporation":false,"usgs":true,"family":"Paxton","given":"Eben","email":"","middleInitial":"H.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":826877,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yackel Adams, Amy A. 0000-0002-7044-8447 yackela@usgs.gov","orcid":"https://orcid.org/0000-0002-7044-8447","contributorId":3116,"corporation":false,"usgs":true,"family":"Yackel Adams","given":"Amy","email":"yackela@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":826878,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goetz, Scott Michael 0000-0002-8705-5316","orcid":"https://orcid.org/0000-0002-8705-5316","contributorId":228868,"corporation":false,"usgs":true,"family":"Goetz","given":"Scott","email":"","middleInitial":"Michael","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":826879,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70223695,"text":"sir20215084 - 2021 - Forecasting drought probabilities for streams in the northeastern United States","interactions":[],"lastModifiedDate":"2021-09-13T12:01:34.031419","indexId":"sir20215084","displayToPublicDate":"2021-09-10T14:10:00","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-5084","displayTitle":"Forecasting Drought Probabilities for Streams in the Northeastern United States","title":"Forecasting drought probabilities for streams in the northeastern United States","docAbstract":"

Maximum likelihood logistic regression (MLLR) models for the northeastern United States forecast drought probability estimates for water flowing in rivers and streams using methods previously identified and developed. Streamflow data from winter months are used to estimate chances of hydrological drought during summer months. Daily streamflow data collected from 1,143 streamgages from April 1, 1877, through October 31, 2018, are used to provide hydrological drought streamflow probabilities for July, August, and September as functions of streamflows during October, November, December, January, and February. This allows estimates of outcomes from 5 to 11 months ahead of their occurrence. Models specific to the northeastern United States were investigated and updated. The MLLR models of drought stream-flow probabilities utilize the explanatory power of temporally linked water flows. Models with strong drought streamflow probability correct-classification rates were produced for streams throughout the northeastern United States. A test of northeastern United States drought streamflow probability predictions found that overall correct-classification rates for drought streamflow probabilities in the northeastern United States exceeded 97 percent when predicting July 2019 drought probability using February 2019 monthly mean streamflow data. Using hydrological drought probability estimates in a water-management context informs understandings of possible future streamflow drought conditions in the northeastern United States, provides warnings of potential future drought conditions, and aids water-management decision making and responses to changing circumstances.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20215084","usgsCitation":"Austin, S.H., 2021, Forecasting drought probabilities for streams in the northeastern United States: U.S. Geological Survey Scientific Investigations Report 2021–5084, 11 p., https://doi.org/10.3133/sir20215084.","productDescription":"Report: vi, 12 p.; Data Release","numberOfPages":"11","ipdsId":"IP-113685","costCenters":[{"id":37280,"text":"Virginia and West Virginia Water Science Center ","active":true,"usgs":true}],"links":[{"id":388741,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2021/5084/sir20215084.pdf","text":"Report","size":"1.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021-5084"},{"id":388740,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2021/5084/coverthb.jpg"},{"id":388742,"rank":3,"type":{"id":30,"text":"Data 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Director, Virginia and West Virginia Water Science Center
U.S. Geological Survey
1730 East Parham Road
Richmond, Virginia 23228

","tableOfContents":"","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2021-09-02","noUsgsAuthors":false,"publicationDate":"2021-09-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Austin, Samuel H. 0000-0001-5626-023X saustin@usgs.gov","orcid":"https://orcid.org/0000-0001-5626-023X","contributorId":153,"corporation":false,"usgs":true,"family":"Austin","given":"Samuel","email":"saustin@usgs.gov","middleInitial":"H.","affiliations":[{"id":37280,"text":"Virginia and West Virginia Water Science Center ","active":true,"usgs":true}],"preferred":true,"id":822358,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70228957,"text":"70228957 - 2021 - Impacts of neonicotinoid seed treatments on the wild bee community in agricultural field margins","interactions":[],"lastModifiedDate":"2022-02-25T16:49:03.561846","indexId":"70228957","displayToPublicDate":"2021-09-10T10:32:30","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Impacts of neonicotinoid seed treatments on the wild bee community in agricultural field margins","docAbstract":"

Wild bees support global agroecosystems via pollination of agricultural crops and maintaining diverse plant communities. However, with an increased reliance on pesticides to enhance crop production, wild bee communities may inadvertently be affected through exposure to chemical residues. Laboratory and semi-field studies have demonstrated lethal and sublethal effects of neonicotinoids on limited genera (e.g., Apis, Bombus, Megachile), yet full field studies evaluating impacts to wild bee communities remain limited. Here, we conducted a two-year field study to assess whether neonicotinoid seed treatment and presence in environmental media (e.g., soil, flowers) influenced bee nest and diet guild abundance and richness. In 2017 and 2018, we planted 23 Missouri agricultural fields to soybeans (Glycine max) using one of three seed treatments: untreated (no insecticide), treated (imidacloprid), or previously-treated (untreated, but neonicotinoid use prior to 2017). During both years, wild bees were collected in study field margins monthly (May to September) in tandem with soil and flowers from fields and field margins that were analyzed for neonicotinoid residues. Insecticide presence in soils and flowers varied over the study with neonicotinoids infrequently detected in both years within margin flowers (0%), soybean flowers (<1%), margin soils (<8%), and field soils (~39%). Wild bee abundance and species richness were not significantly different among field treatments. In contrast, neonicotinoid presence in field soils was associated with significantly lower richness (ground- and aboveground-nesting, diet generalists) of wild bee guilds. Our findings support that soil remains an underexplored route of exposure and long-term persistence of neonicotinoids in field soils may lead to reduced diversity in regional bee communities. Future reduction or elimination of neonicotinoid seed treatment use on areas managed for wildlife may facilitate conservation goals to sustain viable, diverse wild bee populations.

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Missouri","active":true,"usgs":false}],"preferred":false,"id":836026,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Webb, Elisabeth B. 0000-0003-3851-6056 ewebb@usgs.gov","orcid":"https://orcid.org/0000-0003-3851-6056","contributorId":3981,"corporation":false,"usgs":true,"family":"Webb","given":"Elisabeth","email":"ewebb@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":836027,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goyne, Keith W.","contributorId":204931,"corporation":false,"usgs":false,"family":"Goyne","given":"Keith","email":"","middleInitial":"W.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":836028,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Abney, Robert","contributorId":280103,"corporation":false,"usgs":false,"family":"Abney","given":"Robert","email":"","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":836029,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mengel, Doreen C.","contributorId":203619,"corporation":false,"usgs":false,"family":"Mengel","given":"Doreen","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":836030,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70229010,"text":"70229010 - 2021 - Estimating the effects of fish quality and size on the economic value of fishing in Oklahoma streams and rivers: A revealed preference and contingent behavior approach","interactions":[],"lastModifiedDate":"2022-02-25T15:14:48.652424","indexId":"70229010","displayToPublicDate":"2021-09-10T09:11:44","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1661,"text":"Fisheries Research","active":true,"publicationSubtype":{"id":10}},"title":"Estimating the effects of fish quality and size on the economic value of fishing in Oklahoma streams and rivers: A revealed preference and contingent behavior approach","docAbstract":"

Fishing in Oklahoma’s rivers and streams provides a unique experience for anglers in the state. Despite its popularity, information on total demand and economic benefits associated with stream fishing is limited in the state. Research on the role of site quality indicators, such as fish size and quantity, on recreational fishing has shown mixed results. Whether fish size or quantity plays an important role in determining fishing demand and economic value may have important management implications. We estimated the demand and economic value of fishing under varying scenarios by using anglers’ responses to hypothetical behavioral questions related to fishing in Ozark Highland streams and rivers in Oklahoma. We asked how intended number of trips might change in the future given hypothetical increases in catch rates of fish, catch rates of trophy-sized fish, and catch rates of preferred fish species, in combination with anglers’ trip-related data. Under current conditions, we estimated consumer surplus per person per trip to be $55 and aggregate value across all stream anglers in Oklahoma to be $68.51 million. Changes in marginal benefits varied among hypothetical scenarios of fish size and abundance but was maximized with a 25% increase in catch rates of trophy-sized fish. The study findings contribute to the understanding of the economic benefit of fishing in streams and suggest that fish size, rather than fish quantity, is more important to stream anglers in the area.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.fishres.2021.106116","usgsCitation":"Joshi, O., Chapagain, B., Long, J.M., York, B., and Taylor, A., 2021, Estimating the effects of fish quality and size on the economic value of fishing in Oklahoma streams and rivers: A revealed preference and contingent behavior approach: Fisheries Research, v. 244, 106116, 9 p., https://doi.org/10.1016/j.fishres.2021.106116.","productDescription":"106116, 9 p.","ipdsId":"IP-120278","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":450846,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1016/j.fishres.2021.106116","text":"External Repository"},{"id":396482,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"244","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Joshi, O.","contributorId":280236,"corporation":false,"usgs":false,"family":"Joshi","given":"O.","email":"","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":836117,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chapagain, B.","contributorId":280237,"corporation":false,"usgs":false,"family":"Chapagain","given":"B.","email":"","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":836118,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Long, James M. 0000-0002-8658-9949 jmlong@usgs.gov","orcid":"https://orcid.org/0000-0002-8658-9949","contributorId":3453,"corporation":false,"usgs":true,"family":"Long","given":"James","email":"jmlong@usgs.gov","middleInitial":"M.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":836119,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"York, B.","contributorId":280239,"corporation":false,"usgs":false,"family":"York","given":"B.","email":"","affiliations":[{"id":27443,"text":"Oklahoma Department of Wildlife Conservation","active":true,"usgs":false}],"preferred":false,"id":836120,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Taylor, A.T.","contributorId":275887,"corporation":false,"usgs":false,"family":"Taylor","given":"A.T.","affiliations":[{"id":54572,"text":"University of Central Oklahoma","active":true,"usgs":false}],"preferred":false,"id":836121,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70224960,"text":"70224960 - 2021 - Understanding grass invasion, fire severity, and Acacia koa regeneration for forest restoration in Hawaiʻi Volcanoes National Park","interactions":[],"lastModifiedDate":"2021-10-08T12:02:25.032881","indexId":"70224960","displayToPublicDate":"2021-09-10T06:57:56","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2596,"text":"Land","active":true,"publicationSubtype":{"id":10}},"title":"Understanding grass invasion, fire severity, and Acacia koa regeneration for forest restoration in Hawaiʻi Volcanoes National Park","docAbstract":"
With invasive grasses increasing wildfire occurrence worldwide, a better understanding of the relationships between native plants, fire, and invasive grass is needed to help restoration plans facilitate ecosystem resilience. Invasive grasses are particularly problematic for altering fire regimes in the tropics, yet in Hawaiʻi, restoration sites are often planted with monocultures of the native tree Acacia koa, which can promote grass growth via nitrogen fixation. This, combined with the difficulty of estimating pre-fire grass cover under thick canopies, complicates attempts to restore Hawaiian ecosystems. We studied the 2018 Keauhou Ranch Fire in Hawaiʻi to investigate three questions: (1) at what level of precision can pre-fire grass cover be accurately estimated from oblique aerial photos? (2) how are post-fire A. koa regeneration densities affected by fire severity? and (3) how are post-fire A. koa regeneration densities affected by pre-fire grass cover and its interaction with fire severity? We collected burn severity and post-fire regeneration data from 30 transects stratified across mid-elevation woodland, montane woodland, and montane shrubland communities. We evaluated visual estimates of pre-fire grass cover from oblique aerial imagery with quantitative in situ data from 60 unburned transects of the same cover types. Pre-fire estimates of grass cover categories were 67% accurate in montane woodland (n = 9) and 100% accurate in montane shrubland (n = 11), but only 20% accurate in mid-elevation woodland (n = 10). In montane woodlands with low pre-fire tree densities, A. koa regeneration densities were higher with increased fire severity, but this trend reversed when pre-fire tree densities were high. We detected no effect of pre-fire grass cover, nor its interaction with fire severity, on A. koa regeneration density. This indicates that restoration through the planting of A. koa may be successful in promoting fire-resilient A. koa forest, although there are potential issues to consider regarding the effects that A. koa’s grass promotion may have on other species within the ecosystem. 
","language":"English","publisher":"MDPI","doi":"10.3390/land10090962","usgsCitation":"Natalia, H., Yelenik, S.G., Durboraw, T., Cox, R., and Gill, N.S., 2021, Understanding grass invasion, fire severity, and Acacia koa regeneration for forest restoration in Hawaiʻi Volcanoes National Park: Land, v. 10, no. 9, 962, 20 p., https://doi.org/10.3390/land10090962.","productDescription":"962, 20 p.","ipdsId":"IP-131050","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":450851,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/land10090962","text":"Publisher Index Page"},{"id":436203,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9B3V59U","text":"USGS data release","linkHelpText":"Hawaii Volcanoes National Park plant community and fire severity data, 2018-2020"},{"id":390328,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Volcanoes National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.53482055664062,\n 19.123112024698735\n ],\n [\n -154.88388061523438,\n 19.123112024698735\n ],\n [\n -154.88388061523438,\n 19.52355289169168\n ],\n [\n -155.53482055664062,\n 19.52355289169168\n ],\n [\n -155.53482055664062,\n 19.123112024698735\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","issue":"9","noUsgsAuthors":false,"publicationDate":"2021-09-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Natalia, Hamilton","contributorId":267266,"corporation":false,"usgs":false,"family":"Natalia","given":"Hamilton","email":"","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":824865,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yelenik, Stephanie G. 0000-0002-9011-0769","orcid":"https://orcid.org/0000-0002-9011-0769","contributorId":256836,"corporation":false,"usgs":false,"family":"Yelenik","given":"Stephanie","email":"","middleInitial":"G.","affiliations":[{"id":51875,"text":"formerly U.S. Geological Survey; currently Rocky Mountain Research Station, U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":824866,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Durboraw, Tara","contributorId":267267,"corporation":false,"usgs":false,"family":"Durboraw","given":"Tara","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":824867,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cox, Robert","contributorId":267268,"corporation":false,"usgs":false,"family":"Cox","given":"Robert","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":824868,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gill, Nathan S.","contributorId":211061,"corporation":false,"usgs":false,"family":"Gill","given":"Nathan","email":"","middleInitial":"S.","affiliations":[{"id":38177,"text":"Department of Integrative Biology, University of Wisconsin-Madison, Madison","active":true,"usgs":false}],"preferred":false,"id":824869,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70259936,"text":"70259936 - 2021 - A petrological and conceptual model of Mayon volcano (Philippines) as an example of an open-vent volcano","interactions":[],"lastModifiedDate":"2024-10-30T22:43:56.097024","indexId":"70259936","displayToPublicDate":"2021-09-10T06:54:16","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"A petrological and conceptual model of Mayon volcano (Philippines) as an example of an open-vent volcano","docAbstract":"

Mayon is a basaltic andesitic, open-vent volcano characterized by persistent passive degassing from the summit at 2463 m above sea level. Mid-size (<0.1 km3) and mildly explosive eruptions and occasional phreatic eruptions have occurred approximately every 10 years for over a hundred years. Mayon’s plumbing system structure, processes, and time scales driving its eruptions are still not well-known, despite being the most active volcano in the Philippines. We investigated the petrology and geochemistry of its crystal-rich lavas (~50 vol% phenocrysts) from nine historical eruptions between 1928 and 2009 and propose a conceptual model of the processes and magmatic architecture that led to the eruptions. The whole-rock geochemistry and mineral assemblage (plagioclase + orthopyroxene + clinopyroxene + Fe-Ti oxide ± olivine) of the lavas have remained remarkably homogenous (54 wt% SiO2,~4 wt% MgO) from 1928 to 2009. However, electron microscope images and microprobe analyses of the phenocrysts and the existence of three types of glomerocrysts testify to a range of magmatic processes, including long-term magma residence, magma mixing, crystallization, volatile fluxing, and degassing. Multiple mineral-melt geothermobarometers suggest a relatively thermally buffered system at 1050±25 °C, with several magma residence zones, ranging from close to the surface, through reservoirs at ~4–5 km, and as deep as ~ 20 km. Diffusion chronometry on >200 orthopyroxene crystals reveal magma mixing timescales that range from a few days to about 65 years, but the majority are shorter than the decadal inter-eruptive repose period. This implies that magma intrusion at Mayon has been nearly continuous over the studied time period, with limited crystal recycling from one eruption to the next. The variety of plagioclase textures and zoning patterns reflect fluxing of volatiles from depth to shallower melts through which they eventually reach the atmosphere through an open conduit. The crystal-rich nature of the erupted magmas may have developed during each inter-eruptive period. We propose that Mayon has behaved over almost 100 years as a steady state system, with limited variations in eruption frequency, degassing flux, magma composition, and crystal content that are mainly determined by the amount and composition of deep magma and volatile input in the system. We explore how Mayon volcano’s processes and working model can be related to other open-vent mafic and water-rich systems such as Etna, Stromboli, Villarrica, or Llaima. Finally, our understanding of open-vent, persistently active volcanoes is rooted in historical observations, but volcano behavior can evolve over longer time frames. We speculate that these volcanoes produce specific plagioclase textures that can be used to identify similar volcanic behavior in the geologic record.

","language":"English","publisher":"Springer","doi":"10.1007/s00445-021-01486-9","usgsCitation":"Ruth, D.C., and Costa, F., 2021, A petrological and conceptual model of Mayon volcano (Philippines) as an example of an open-vent volcano: Bulletin of Volcanology, v. 83, 62, 28 p., https://doi.org/10.1007/s00445-021-01486-9.","productDescription":"62, 28 p.","ipdsId":"IP-123082","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":467226,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00445-021-01486-9","text":"Publisher Index Page"},{"id":463239,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Philippines","otherGeospatial":"Mayon volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 123.5101731400274,\n 13.501020877721444\n ],\n [\n 123.5101731400274,\n 13.33999591750549\n ],\n [\n 123.70654204522504,\n 13.33999591750549\n ],\n [\n 123.70654204522504,\n 13.501020877721444\n ],\n [\n 123.5101731400274,\n 13.501020877721444\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"83","noUsgsAuthors":false,"publicationDate":"2021-09-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Ruth, Dawn Catherine Sweeney 0000-0001-9369-9364","orcid":"https://orcid.org/0000-0001-9369-9364","contributorId":334908,"corporation":false,"usgs":true,"family":"Ruth","given":"Dawn","email":"","middleInitial":"Catherine Sweeney","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":916874,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Costa, Fidel","contributorId":184169,"corporation":false,"usgs":false,"family":"Costa","given":"Fidel","email":"","affiliations":[],"preferred":false,"id":916875,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70227783,"text":"70227783 - 2021 - The potential of satellite remote sensing time series to uncover wetland phenology under unique challenges of tidal setting","interactions":[],"lastModifiedDate":"2022-01-31T16:09:37.311812","indexId":"70227783","displayToPublicDate":"2021-09-09T09:54:53","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"The potential of satellite remote sensing time series to uncover wetland phenology under unique challenges of tidal setting","docAbstract":"While growth history of vegetation within upland systems is well studied, plant phenology within coastal tidal systems is less understood. Landscape-scale, satellite-derived indicators of plant greenness may not adequately represent seasonality of vegetation biomass and productivity within tidal wetlands due to limitations of cloud cover, satellite temporal frequency and attenu-ation of plant signals by tidal flooding. However, understanding plant phenology is necessary to gain insight into aboveground biomass, photosynthetic activity, and carbon sequestration. In this study we use a modeling approach to estimate plant greenness throughout a year in tidal wet-lands located within the San Francisco Bay Area, USA. We used variables such as EVI history, temperature, and elevation to predict plant greenness on a 14-day timestep. We found this ap-proach accurately estimated plant greenness, with larger error observed within more dynamic restored wetlands, particularly at early post-restoration stages. We also found modeled EVI can be used as an input variable into greenhouse gas models, allowing for an estimate of carbon se-questration and gross primary production. Our strategy can be further developed in future re-search by assessing restoration and management effects on wetland phenological dynamics and through incorporating the entire Sentinel-2 time-series once it becomes available within Google Earth Engine.","language":"English","publisher":"MDPI","doi":"10.3390/rs13183589","collaboration":"=","usgsCitation":"Miller, G.J., Dronova, I., Oikawa, P., Knox, S., Windham-Myers, L., Shahan, J., and Stuart-Haëntjens, E., 2021, The potential of satellite remote sensing time series to uncover wetland phenology under unique challenges of tidal setting: Remote Sensing, v. 13, no. 18, p. 1-28, https://doi.org/10.3390/rs13183589.","productDescription":"3589, 28 p.","startPage":"1","endPage":"28","ipdsId":"IP-133045","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":450854,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs13183589","text":"Publisher Index Page"},{"id":395144,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"San Francisco","otherGeospatial":"San Francisco Bay Estuary","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.728271484375,\n 37.276238364942955\n ],\n [\n -121.75872802734375,\n 37.276238364942955\n ],\n [\n -121.75872802734375,\n 38.26406296833961\n ],\n [\n -122.728271484375,\n 38.26406296833961\n ],\n [\n -122.728271484375,\n 37.276238364942955\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"13","issue":"18","noUsgsAuthors":false,"publicationDate":"2021-09-09","publicationStatus":"PW","contributors":{"editors":[{"text":"Bostater, Charles R. Jr.","contributorId":272837,"corporation":false,"usgs":false,"family":"Bostater","given":"Charles","suffix":"Jr.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":832310,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Miller, Gwendolyn Joelle 0000-0002-5712-945X","orcid":"https://orcid.org/0000-0002-5712-945X","contributorId":272606,"corporation":false,"usgs":false,"family":"Miller","given":"Gwendolyn","email":"","middleInitial":"Joelle","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":832226,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dronova, Iryna 0000-0003-3339-3704","orcid":"https://orcid.org/0000-0003-3339-3704","contributorId":272607,"corporation":false,"usgs":false,"family":"Dronova","given":"Iryna","email":"","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":832227,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Oikawa, Patricia","contributorId":272608,"corporation":false,"usgs":false,"family":"Oikawa","given":"Patricia","affiliations":[{"id":56387,"text":"CSU East Bay","active":true,"usgs":false}],"preferred":false,"id":832228,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Knox, Sara Helen 0000-0003-2255-5835","orcid":"https://orcid.org/0000-0003-2255-5835","contributorId":272609,"corporation":false,"usgs":false,"family":"Knox","given":"Sara Helen","affiliations":[{"id":56388,"text":"U. British Columbia","active":true,"usgs":false}],"preferred":false,"id":832229,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Windham-Myers, Lisamarie","contributorId":272610,"corporation":false,"usgs":true,"family":"Windham-Myers","given":"Lisamarie","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":832230,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shahan, Julie","contributorId":272611,"corporation":false,"usgs":false,"family":"Shahan","given":"Julie","email":"","affiliations":[{"id":56387,"text":"CSU East Bay","active":true,"usgs":false}],"preferred":false,"id":832231,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stuart-Haëntjens, Ellen 0000-0001-9901-7643","orcid":"https://orcid.org/0000-0001-9901-7643","contributorId":265857,"corporation":false,"usgs":true,"family":"Stuart-Haëntjens","given":"Ellen","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":832232,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70231624,"text":"70231624 - 2021 - Impacts of climate changes and amplified natural disturbance on global ecosystems","interactions":[],"lastModifiedDate":"2022-05-17T14:37:03.37095","indexId":"70231624","displayToPublicDate":"2021-09-09T09:33:56","publicationYear":"2021","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Impacts of climate changes and amplified natural disturbance on global ecosystems","docAbstract":"

Natural disturbances maintain biological diversity and landscape heterogeneity and initiate ecosystem renewal and reorganization. However, the severity, frequency, and extent of many disturbances have increased substantially in recent decades as the result of anthropogenic climate change. Disturbances can be discrete, short-duration events, such as wildfires or hurricanes, or can exert persistent, cumulative stresses on an ecosystem (for example, ongoing warming of ocean or land surface temperatures). Landscape and ecosystem impacts can occur from a single disturbance, from several disturbances acting independently, or from the interactions of multiple, linked disturbances. Key, climate-related disturbances affecting global biomes and ecosystems include shifting temperature and hydrologic regimes (for example, warming surface temperatures and increasing aridity), increased frequency and magnitude of extreme events such as heatwaves, severe droughts, storms, and hurricanes, warming-induced permafrost thaw, and heightened wildfire activity and insect-caused tree mortality. For ecosystems and landscapes, the consequences of climate-amplified disturbance include forced poleward and upward movement of plant and animal species, widespread tree mortality and reduced forest productivity, changes in plant community structure and species distributions, reduced biodiversity, increased erosion, debris flows, wetland dynamism, declining sea ice extent, more frequent storm-driven tides and saltwater intrusion, and increased landscape flammability.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Routledge handbook of landscape ecology","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Routledge","doi":"10.4324/9780429399480-11","usgsCitation":"Loehman, R.A., Friggens, M., Sherriff, R., Keyser, A.R., and Riley, K.L., 2021, Impacts of climate changes and amplified natural disturbance on global ecosystems, chap. of Routledge handbook of landscape ecology, p. 175-198, https://doi.org/10.4324/9780429399480-11.","productDescription":"24 p.","startPage":"175","endPage":"198","ipdsId":"IP-108658","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":400700,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Loehman, Rachel A. 0000-0001-7680-1865 rloehman@usgs.gov","orcid":"https://orcid.org/0000-0001-7680-1865","contributorId":187605,"corporation":false,"usgs":true,"family":"Loehman","given":"Rachel","email":"rloehman@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"preferred":false,"id":843150,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Friggens, Megan","contributorId":219865,"corporation":false,"usgs":false,"family":"Friggens","given":"Megan","email":"","affiliations":[{"id":36400,"text":"US Forest Service","active":true,"usgs":false}],"preferred":false,"id":843151,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sherriff, Rosemary L.","contributorId":243263,"corporation":false,"usgs":false,"family":"Sherriff","given":"Rosemary L.","affiliations":[{"id":7067,"text":"Humboldt State University","active":true,"usgs":false}],"preferred":false,"id":843152,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Keyser, Alisa R.","contributorId":248331,"corporation":false,"usgs":false,"family":"Keyser","given":"Alisa","email":"","middleInitial":"R.","affiliations":[{"id":49860,"text":"Univ. of New Mexico","active":true,"usgs":false}],"preferred":false,"id":843153,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Riley, Karin L.","contributorId":169453,"corporation":false,"usgs":false,"family":"Riley","given":"Karin","email":"","middleInitial":"L.","affiliations":[{"id":25512,"text":"US Forest Service Fire Science Lab","active":true,"usgs":false}],"preferred":false,"id":843154,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70223887,"text":"70223887 - 2021 - Phenotypic variation in Brook Trout Salvelinus fontinalis (Mitchill) at broad spatial scales makes morphology an insufficient basis for taxonomic reclassification of the species","interactions":[],"lastModifiedDate":"2021-09-13T14:09:17.279058","indexId":"70223887","displayToPublicDate":"2021-09-09T09:01:03","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9341,"text":"Ichthyology & Herpetology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Phenotypic variation in Brook Trout Salvelinus fontinalis (Mitchill) at broad spatial scales makes morphology an insufficient basis for taxonomic reclassification of the species","title":"Phenotypic variation in Brook Trout Salvelinus fontinalis (Mitchill) at broad spatial scales makes morphology an insufficient basis for taxonomic reclassification of the species","docAbstract":"

It was recently proposed that there are three new species of Salvelinus with microendemic distributions in the Great Smoky Mountains National Park, Tennessee, USA. The three species of Salvelinus were hypothesized to be distinct from their congener Brook Trout S. fontinalis based on three meristic traits—pored lateral-line scales, vertebral counts, and number of basihyal teeth. After analyses that included specimens sampled from a larger portion of the geographic range of S. fontinalis, we conclude that the three populations of Salvelinus recently described as new species are not morphometrically distinct from Brook Trout and consider all three to be synonyms of S. fontinalis. Moreover, the low number of specimens originally examined conflates morphological differences among populations with sexual dimorphism and/or phenotypic plasticity, both of which are documented extensively in Brook Trout but were not controlled for in the species descriptions. While there is currently insufficient phenotypic or genotypic evidence to support the hypothesis of three new species that are distinct from S. fontinalis, we acknowledge the need to understand the unique selection pressures that shape evolutionary trajectories in small, isolated populations of Brook Trout and to conserve evolutionarily significant sources of genotypic and phenotypic diversity. To that end, we provide comments on research opportunities to support Brook Trout conservation, including the importance of collaborative, range-wide phylogenetic studies to identify the most appropriate scales of management efforts.

","language":"English","publisher":"American Society of Ichthyologists and Herpetologists","doi":"10.1643/i2020154","usgsCitation":"White, S.L., Kazyak, D., Harrington, R.C., Kulp, M.A., Rash, J.M., Weathers, T.C., and Near, T.J., 2021, Phenotypic variation in Brook Trout Salvelinus fontinalis (Mitchill) at broad spatial scales makes morphology an insufficient basis for taxonomic reclassification of the species: Ichthyology & Herpetology, v. 109, no. 3, p. 743-751, https://doi.org/10.1643/i2020154.","productDescription":"9 p.","startPage":"743","endPage":"751","ipdsId":"IP-124765","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":450855,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1643/i2020154","text":"Publisher Index Page"},{"id":389145,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York, Tennessee","otherGeospatial":"Great Smoky Mountains Park, Long Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.38317871093749,\n 40.72644570551446\n ],\n [\n -72.88330078125,\n 40.72644570551446\n ],\n [\n -72.88330078125,\n 40.925964939514294\n ],\n [\n -73.38317871093749,\n 40.925964939514294\n ],\n [\n -73.38317871093749,\n 40.72644570551446\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.111328125,\n 35.36217605914681\n ],\n [\n -82.93853759765625,\n 35.36217605914681\n ],\n [\n -82.93853759765625,\n 35.871246850027966\n ],\n [\n -84.111328125,\n 35.871246850027966\n ],\n [\n -84.111328125,\n 35.36217605914681\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"109","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"White, Shannon L. 0000-0003-4687-6596","orcid":"https://orcid.org/0000-0003-4687-6596","contributorId":263424,"corporation":false,"usgs":true,"family":"White","given":"Shannon","email":"","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":823091,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kazyak, David C. 0000-0001-9860-4045","orcid":"https://orcid.org/0000-0001-9860-4045","contributorId":202481,"corporation":false,"usgs":true,"family":"Kazyak","given":"David C.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":823092,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harrington, Richard C","contributorId":265606,"corporation":false,"usgs":false,"family":"Harrington","given":"Richard","email":"","middleInitial":"C","affiliations":[{"id":37550,"text":"Yale University","active":true,"usgs":false}],"preferred":false,"id":823093,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kulp, Matt A.","contributorId":196801,"corporation":false,"usgs":false,"family":"Kulp","given":"Matt","email":"","middleInitial":"A.","affiliations":[{"id":35484,"text":"National Park Service, Great Smoky Mountains National Park","active":true,"usgs":false}],"preferred":false,"id":823094,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rash, Jacob M","contributorId":218128,"corporation":false,"usgs":false,"family":"Rash","given":"Jacob","email":"","middleInitial":"M","affiliations":[{"id":39760,"text":"Division of Inland Fisheries, North Carolina Wildlife Resources Commission","active":true,"usgs":false}],"preferred":false,"id":823095,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Weathers, T. Casey","contributorId":218129,"corporation":false,"usgs":false,"family":"Weathers","given":"T.","email":"","middleInitial":"Casey","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":823155,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Near, Thomas J","contributorId":265607,"corporation":false,"usgs":false,"family":"Near","given":"Thomas","email":"","middleInitial":"J","affiliations":[{"id":37550,"text":"Yale University","active":true,"usgs":false}],"preferred":false,"id":823096,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70224262,"text":"70224262 - 2021 - If you give a clam an estuary: The story of potamocorbula","interactions":[],"lastModifiedDate":"2021-09-16T13:06:17.362712","indexId":"70224262","displayToPublicDate":"2021-09-09T08:04:10","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9348,"text":"Frontiers for Young Minds","active":true,"publicationSubtype":{"id":10}},"title":"If you give a clam an estuary: The story of potamocorbula","docAbstract":"When you look at San Francisco Bay, what animals do you see? You may see lots of fish swimming around and birds flying above. What you DON’T see is Potamocorbula, a little clam that has had a big impact. Many years ago, ships accidentally brought Potamocorbula into the Bay. Pretty soon, Potamocorbula spread out all over in large numbers! Clams pump water over their gills and eat small particles of food, like phytoplankton, that pass through with the water. Potamocorbula can pump water much faster than other clams that live in the Bay, and they can eat more than their share of phytoplankton. Sometimes Potamocorbula eats phytoplankton faster than phytoplankton can grow! What problems does that cause for other animals, like birds and fish, that also need phytoplankton? Does Potamocorbula’s invasion only have negative impacts? In this article, we dive to the bottom of the Bay to find some answers.\n\nBook series publishing the chapter: https://kids.frontiersin.org/collection/13528/where-the-river-meets-the-ocean-stories-from-san-francisco-estuary","language":"English","publisher":"Frontiers","doi":"10.3389/frym.2021.599289","usgsCitation":"Shrader, K., Zierdt Smith, E.L., Parchaso, F., and Thompson, J.K., 2021, If you give a clam an estuary: The story of potamocorbula: Frontiers for Young Minds, https://doi.org/10.3389/frym.2021.599289.","ipdsId":"IP-120502","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":450858,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/frym.2021.599289","text":"Publisher Index Page"},{"id":389334,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.134765625,\n 37.405073750176925\n ],\n [\n -121.55273437499999,\n 37.405073750176925\n ],\n [\n -121.55273437499999,\n 38.37611542403604\n ],\n [\n -123.134765625,\n 38.37611542403604\n ],\n [\n -123.134765625,\n 37.405073750176925\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2021-09-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Shrader, Kelly H. 0000-0001-6550-7425","orcid":"https://orcid.org/0000-0001-6550-7425","contributorId":215872,"corporation":false,"usgs":true,"family":"Shrader","given":"Kelly H.","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":823393,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zierdt Smith, Emily L. 0000-0003-0787-1856 ezierdtsmith@usgs.gov","orcid":"https://orcid.org/0000-0003-0787-1856","contributorId":220320,"corporation":false,"usgs":true,"family":"Zierdt Smith","given":"Emily","email":"ezierdtsmith@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":823394,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Parchaso, Francis 0000-0002-9471-7787 parchaso@usgs.gov","orcid":"https://orcid.org/0000-0002-9471-7787","contributorId":150620,"corporation":false,"usgs":true,"family":"Parchaso","given":"Francis","email":"parchaso@usgs.gov","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":823395,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thompson, Janet K. 0000-0002-1528-8452 jthompso@usgs.gov","orcid":"https://orcid.org/0000-0002-1528-8452","contributorId":1009,"corporation":false,"usgs":true,"family":"Thompson","given":"Janet","email":"jthompso@usgs.gov","middleInitial":"K.","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":823396,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70223891,"text":"70223891 - 2021 - The structure and volume of large geysers in Yellowstone National Park, USA and the mineralogy and chemistry of their silica sinter deposits","interactions":[],"lastModifiedDate":"2021-10-06T15:58:41.800728","indexId":"70223891","displayToPublicDate":"2021-09-09T07:50:23","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"The structure and volume of large geysers in Yellowstone National Park, USA and the mineralogy and chemistry of their silica sinter deposits","docAbstract":"

Siliceous sinter is formed by biogenic and abiogenic opal deposition around hot springs and geysers. Using Structure-from-Motion photogrammetry we generated three-dimensional models of Giant and Castle Geysers from the Upper Geyser Basin of Yellowstone National Park. We use these models to calculate an approximate mass of sinter for each (~2 and ~ 5 kton, respectively) and estimate a range of plausible long-term deposition rates for Castle Geyser (470 to 940 kg·yr−1). We estimate ~2% of the silica discharged from Castle Geyser is deposited as sinter in the cone and proximal terraces. We collected 15 sinter samples following the stratigraphy of each geyser from an older terrace to a younger cone and examined them using a variety of analytical methods. We find that young opaline sinter with a water content of <12 wt% (from loss on ignition) contains higher concentrations of major and trace elements, notably As, Sb, Rb, Ga and Cs, relative to older dehydrated sinter. Rare earth element (REE) concentrations in sinter are 2–3 orders of magnitude higher than in the thermal water from which they are deposited. Sinter deposits are enriched in light REE, Gd and Yb when normalized to concentrations in thermal water and enriched in Eu, Tm, and Yb when normalized to the underlying rhyolite. Sinter samples with the highest REE concentrations are also enriched in organic material, implying either microbial uptake of REE, or that organic molecules are efficient ligands that form metal complexes.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2021.107391","usgsCitation":"Churchill, D., Manga, M., Hurwitz, S., Peek, S., Damby, D., Conrey, R., Wood, J.R., McCleskey, R., Keller, W.E., Hosseini, B., and Hungerford, J.D., 2021, The structure and volume of large geysers in Yellowstone National Park, USA and the mineralogy and chemistry of their silica sinter deposits: Journal of Volcanology and Geothermal Research, v. 419, 107391, 17 p., https://doi.org/10.1016/j.jvolgeores.2021.107391.","productDescription":"107391, 17 p.","ipdsId":"IP-130151","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":450859,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jvolgeores.2021.107391","text":"Publisher Index Page"},{"id":389139,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.03881835937499,\n 43.43696596521823\n ],\n [\n -108.69873046875,\n 43.43696596521823\n ],\n [\n -108.69873046875,\n 45.01918507438176\n ],\n [\n -111.03881835937499,\n 45.01918507438176\n ],\n [\n -111.03881835937499,\n 43.43696596521823\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"419","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Churchill, Dakota 0000-0003-3382-5562","orcid":"https://orcid.org/0000-0003-3382-5562","contributorId":265639,"corporation":false,"usgs":false,"family":"Churchill","given":"Dakota","email":"","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":823143,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Manga, Michael 0000-0003-3286-4682","orcid":"https://orcid.org/0000-0003-3286-4682","contributorId":265640,"corporation":false,"usgs":false,"family":"Manga","given":"Michael","email":"","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":823144,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hurwitz, Shaul 0000-0001-5142-6886 shaulh@usgs.gov","orcid":"https://orcid.org/0000-0001-5142-6886","contributorId":2169,"corporation":false,"usgs":true,"family":"Hurwitz","given":"Shaul","email":"shaulh@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":823145,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peek, Sara 0000-0002-9770-6557","orcid":"https://orcid.org/0000-0002-9770-6557","contributorId":209971,"corporation":false,"usgs":true,"family":"Peek","given":"Sara","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":823146,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Damby, David 0000-0002-3238-3961","orcid":"https://orcid.org/0000-0002-3238-3961","contributorId":206614,"corporation":false,"usgs":true,"family":"Damby","given":"David","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":823147,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Conrey, Richard","contributorId":265641,"corporation":false,"usgs":false,"family":"Conrey","given":"Richard","affiliations":[{"id":54747,"text":"Hamilton College","active":true,"usgs":false}],"preferred":false,"id":823148,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wood, John R.","contributorId":265642,"corporation":false,"usgs":false,"family":"Wood","given":"John","email":"","middleInitial":"R.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":823149,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McCleskey, R. Blaine 0000-0002-2521-8052","orcid":"https://orcid.org/0000-0002-2521-8052","contributorId":205663,"corporation":false,"usgs":true,"family":"McCleskey","given":"R. Blaine","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":823150,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Keller, William E.","contributorId":265643,"corporation":false,"usgs":false,"family":"Keller","given":"William","email":"","middleInitial":"E.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":823151,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hosseini, Behnaz","contributorId":265644,"corporation":false,"usgs":false,"family":"Hosseini","given":"Behnaz","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":823152,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hungerford, Jefferson D.G.","contributorId":265645,"corporation":false,"usgs":false,"family":"Hungerford","given":"Jefferson","email":"","middleInitial":"D.G.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":823153,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70230349,"text":"70230349 - 2021 - Improvements to the Third Uniform California Earthquake Rupture Forecast ETAS Model (UCERF3‐ETAS)","interactions":[],"lastModifiedDate":"2024-01-24T16:40:40.565813","indexId":"70230349","displayToPublicDate":"2021-09-09T07:14:31","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10542,"text":"The Seismic Record","active":true,"publicationSubtype":{"id":10}},"title":"Improvements to the Third Uniform California Earthquake Rupture Forecast ETAS Model (UCERF3‐ETAS)","docAbstract":"

We describe recent improvements to the Third Uniform California Earthquake Rupture Forecast ETAS Model (UCERF3‐ETAS), which continues to represent our most advanced and complete earthquake forecast in terms of relaxing segmentation assumptions and representing multifault ruptures, elastic‐rebound effects, and spatiotemporal clustering (the latter to represent aftershocks and otherwise triggered events). The two main improvements include adding aleatory variability in aftershock productivity and the option to represent off‐fault events with finite‐rupture surfaces. We also summarize the studies that led to these modifications, and reflect on how past and future uses of the model can improve our understanding of earthquake processes and the hazards and risks they pose.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0320210017","usgsCitation":"Field, E.H., Milner, K.R., Page, M.T., Savran, W.H., and van der Elst, N., 2021, Improvements to the Third Uniform California Earthquake Rupture Forecast ETAS Model (UCERF3‐ETAS): The Seismic Record, v. 1, no. 2, p. 117-125, https://doi.org/10.1785/0320210017.","productDescription":"9 p.","startPage":"117","endPage":"125","ipdsId":"IP-131403","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":450861,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0320210017","text":"Publisher Index Page"},{"id":398384,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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nvanderelst@usgs.gov","orcid":"https://orcid.org/0000-0002-3812-1153","contributorId":147858,"corporation":false,"usgs":true,"family":"van der Elst","given":"Nicholas","email":"nvanderelst@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":840043,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70223914,"text":"70223914 - 2021 - Estimating and forecasting time-varying groundwater recharge in fractured rock: A state-space formulation with preferential and diffuse flow to the water table","interactions":[],"lastModifiedDate":"2021-10-06T16:00:10.10863","indexId":"70223914","displayToPublicDate":"2021-09-09T07:11:15","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Estimating and forecasting time-varying groundwater recharge in fractured rock: A state-space formulation with preferential and diffuse flow to the water table","docAbstract":"

Rapid infiltration following precipitation may result in groundwater contamination from surface contaminants or pathogens. In fractured rock, contaminants can migrate rapidly to points of groundwater withdrawals. In contrast to the temporal availability of groundwater quality chemical indicators, meteorological and groundwater level observations are available in real-time to estimate time-varying recharge, which can act as a surrogate to identify periods of rapid infiltration that may indicate contamination susceptibility. Estimating recharge using methods, such as base-flow recession, unsaturated infiltration models, or Water-Table Fluctuations (WTF), cannot capitalize on currently available technologies and telecommunication infrastructure to conduct real-time recharge estimation at scales relevant to characterizing rapid infiltration. We present a linear, physics-based State-Space (SS) model of one-dimensional infiltration to estimate recharge, which includes preferential and diffuse-flow to the water table. The model can take advantage of real-time data for water-table altitude, precipitation, and evapotranspiration. Model parameters are calibrated over an observation period, and the Kalman Filter (KF) is subsequently applied to continuously update the observed (water-table altitude) and unobserved (groundwater recharge) system states and predict future states as new data become available. The SS/KF algorithm is demonstrated at the Masser Groundwater Recharge Site in Pennsylvania, USA and comparisons are made with recharge estimates from WTF methods. Model results indicate that the frequency of observations (daily versus sub-daily) dictates the allocation between preferential and diffuse flow. Additionally, because infiltration processes encompass many nonlinearities, model parameters estimated from observation periods need to be updated at least seasonally to account for changing recharge conditions.

","language":"English","publisher":"Wiley","doi":"10.1029/2020WR029110","usgsCitation":"Shapiro, A.M., and Day-Lewis, F., 2021, Estimating and forecasting time-varying groundwater recharge in fractured rock: A state-space formulation with preferential and diffuse flow to the water table: Water Resources Research, v. 57, no. 9, e2020WR029110, 30 p., https://doi.org/10.1029/2020WR029110.","productDescription":"e2020WR029110, 30 p.","ipdsId":"IP-122279","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":450863,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2020wr029110","text":"Publisher Index Page"},{"id":436205,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9VBR9V8","text":"USGS data release","linkHelpText":"Algorithms for model parameter estimation, state estimation, and forecasting applied to a State-Space model coupled with the Kalman Filter for one-dimensional vertical infiltration to fractured rock aquifers"},{"id":436204,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9LLXCIC","text":"USGS data release","linkHelpText":"Water Level Altitude in Bedrock Wells and Meteorological Data at the Masser Groundwater Recharge Site between February 1 and December 31, 1999"},{"id":389205,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"57","issue":"9","noUsgsAuthors":false,"publicationDate":"2021-09-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Shapiro, Allen M. 0000-0002-6425-9607 ashapiro@usgs.gov","orcid":"https://orcid.org/0000-0002-6425-9607","contributorId":2164,"corporation":false,"usgs":true,"family":"Shapiro","given":"Allen","email":"ashapiro@usgs.gov","middleInitial":"M.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":823234,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Day-Lewis, Frederick 0000-0003-3526-886X","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":216359,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"Frederick","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":823235,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70223784,"text":"70223784 - 2021 - Global drivers of avian haemosporidian infections vary across zoogeographical regions","interactions":[],"lastModifiedDate":"2021-11-16T15:41:14.844104","indexId":"70223784","displayToPublicDate":"2021-09-08T14:05:28","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1839,"text":"Global Ecology and Biogeography","active":true,"publicationSubtype":{"id":10}},"title":"Global drivers of avian haemosporidian infections vary across zoogeographical regions","docAbstract":"

Aim: Macroecological analyses provide valuable insights into factors that influence how parasites are distributed across space and among hosts. Amid large uncertainties that arise when generalizing from local and regional findings, hierarchical approaches applied to global datasets are required to determine whether drivers of parasite infection patterns vary across scales. We assessed global patterns of haemosporidian infections across a broad diversity of avian host clades and zoogeographical realms to depict hotspots of prevalence and to identify possible underlying drivers.

Location: Global.

Time period: 1994–2019.

Major taxa studied: Avian haemosporidian parasites (genera Plasmodium, Haemoproteus, Leucocytozoon and Parahaemoproteus).

Methods: We amalgamated infection data from 53,669 individual birds representing 2,445 species world-wide. Spatio-phylogenetic hierarchical Bayesian models were built to disentangle potential landscape, climatic and biotic drivers of infection probability while accounting for spatial context and avian host phylogenetic relationships.

Results: Idiosyncratic responses of the three most common haemosporidian genera to climate, habitat, host relatedness and host ecological traits indicated marked variation in host infection rates from local to global scales. Notably, host ecological drivers, such as migration distance for Plasmodium and Parahaemoproteus, exhibited predominantly varying or even opposite effects on infection rates across regions, whereas climatic effects on infection rates were more consistent across realms. Moreover, infections in some low-prevalence realms were disproportionately concentrated in a few local hotspots, suggesting that regional-scale variation in habitat and microclimate might influence transmission, in addition to global drivers.

Main conclusions: Our hierarchical global analysis supports regional-scale findings showing the synergistic effects of landscape, climate and host ecological traits on parasite transmission for a cosmopolitan and diverse group of avian parasites. Our results underscore the need to account for such interactions, in addition to possible variation in drivers across regions, to produce the robust inference required to predict changes in infection risk under future scenarios.

","language":"English","publisher":"John Wiley & Sons","doi":"10.1111/geb.13390","usgsCitation":"Fecchio, A., Clark, N.J., Bell, J.A., Skeen, H., Lutz, H.L., De La Torre, G.M., Vaughan, J.A., Tkach, V.V., Schunck, F., Ferreira, F.C., Braga, E.M., Lugarini, C., Wamiti, W., Dispoto, J.H., Galen, S.C., Kirchgatter, K., Sagario, M.C., Cueto, V., Gonzalez-Acuna, D., Inumaru, M., Sato, Y., Schumm, Y.R., Quillfeldt, P., Pellegrino, I., Dharmarajan, G., Gupta, P., Robin, V.V., Ciloglu, A., Yildirim, A., Huang, X., Chapa-Vargas, L., Alvarez-Mendizabal, P., Santiago-Alarcon, D., Drovetski, S.V., Hellgren, O., Voelker, G., Ricklefs, R.E., Hackett, S., Collins, M.D., Weckstein, J.D., and Wells, K., 2021, Global drivers of avian haemosporidian infections vary across zoogeographical regions: Global Ecology and Biogeography, v. 30, no. 12, p. 2393-2406, https://doi.org/10.1111/geb.13390.","productDescription":"14 p.","startPage":"2393","endPage":"2406","temporalStart":"1994-01-01","temporalEnd":"2019-12-31","ipdsId":"IP-126030","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":450866,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/1980622","text":"External Repository"},{"id":388968,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"12","noUsgsAuthors":false,"publicationDate":"2021-09-07","publicationStatus":"PW","contributors":{"editors":[{"text":"Kamath, Pauline","contributorId":198306,"corporation":false,"usgs":false,"family":"Kamath","given":"Pauline","affiliations":[],"preferred":false,"id":822778,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Fecchio, Alan 0000-0002-7319-0234","orcid":"https://orcid.org/0000-0002-7319-0234","contributorId":265372,"corporation":false,"usgs":false,"family":"Fecchio","given":"Alan","email":"","affiliations":[{"id":54651,"text":"Programa de Pós-Graduação em Ecologia e Conservação da Biodiversidade, Universidade Federal de Mato Grosso, Avenida Fernando Corrêa da Costa 2367, Cuiabá, MT, 78060900, Brazil","active":true,"usgs":false}],"preferred":false,"id":822666,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, Nicholas J.","contributorId":204867,"corporation":false,"usgs":false,"family":"Clark","given":"Nicholas","email":"","middleInitial":"J.","affiliations":[{"id":16755,"text":"University of Queensland, Australia","active":true,"usgs":false}],"preferred":false,"id":822667,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bell, Jeffrey A","contributorId":265373,"corporation":false,"usgs":false,"family":"Bell","given":"Jeffrey","email":"","middleInitial":"A","affiliations":[{"id":52695,"text":"Department of Biology, University of North Dakota, Grand Forks, ND 58201, USA","active":true,"usgs":false}],"preferred":false,"id":822668,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Skeen, Heather","contributorId":265374,"corporation":false,"usgs":false,"family":"Skeen","given":"Heather","email":"","affiliations":[{"id":54652,"text":"Committee on Evolutionary Biology, University of Chicago, Chicago, IL, 6063 and Negaunee Integrative Research Center, The Field Museum, Chicago, IL, 60605 USA","active":true,"usgs":false}],"preferred":false,"id":822669,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lutz, Holly L","contributorId":265375,"corporation":false,"usgs":false,"family":"Lutz","given":"Holly","email":"","middleInitial":"L","affiliations":[{"id":54653,"text":"Department of Surgery, University of Chicago, 5812 S. 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Shannon","contributorId":265389,"corporation":false,"usgs":false,"family":"Hackett","given":"Shannon","email":"","affiliations":[{"id":54668,"text":"The Richard and Jill Chaifetz Associate Curator of Birds, Life Sciences and Pritzker Lab Field Museum of Natural History, 1400 South Lake Shore Drive, Chicago, IL 60605, USA","active":true,"usgs":false}],"preferred":false,"id":822688,"contributorType":{"id":1,"text":"Authors"},"rank":38},{"text":"Collins, Michael D","contributorId":265390,"corporation":false,"usgs":false,"family":"Collins","given":"Michael","email":"","middleInitial":"D","affiliations":[{"id":54669,"text":"Department of Biology, Rhodes College, Memphis, TN 38112, USA","active":true,"usgs":false}],"preferred":false,"id":822689,"contributorType":{"id":1,"text":"Authors"},"rank":39},{"text":"Weckstein, Jason D","contributorId":265391,"corporation":false,"usgs":false,"family":"Weckstein","given":"Jason","email":"","middleInitial":"D","affiliations":[{"id":54670,"text":"Department of Ornithology, Academy of Natural Sciences of Drexel University, Philadelphia, PA 19103, USA and Department of Biodiversity, Earth, and Environmental Sciences, Drexel University, Philadelphia, PA 19103, USA","active":true,"usgs":false}],"preferred":false,"id":822690,"contributorType":{"id":1,"text":"Authors"},"rank":40},{"text":"Wells, Konstans","contributorId":265392,"corporation":false,"usgs":false,"family":"Wells","given":"Konstans","email":"","affiliations":[{"id":54671,"text":"Department of Biosciences, Swansea University, Swansea, SA2 8PP UK","active":true,"usgs":false}],"preferred":false,"id":822691,"contributorType":{"id":1,"text":"Authors"},"rank":41}]}} ,{"id":70223785,"text":"70223785 - 2021 - Thermal stability of an adaptable, invasive ectotherm: Argentine giant tegus in the Greater Everglades ecosystem, USA","interactions":[],"lastModifiedDate":"2021-09-08T19:02:29.353507","indexId":"70223785","displayToPublicDate":"2021-09-08T11:53:39","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Thermal stability of an adaptable, invasive ectotherm: Argentine giant tegus in the Greater Everglades ecosystem, USA","docAbstract":"

Invasive species globally threaten biodiversity and economies, but the ecophysiological mechanisms underlying their success are often understudied. For those alien species that also exhibit high phenotypic plasticity, such as habitat generalists, adaptations in response to environmental pressures can take place relatively quickly. The Argentine giant tegu (Salvator merianae; tegu) is a large omnivorous lizard from South America that is prolific, long-lived, vagile, and highly adaptable to disturbed environments. They are well suited to the climate of southeastern United States, introduced to several disjunct areas, including the Everglades, where their voracious appetite threatens native wildlife. Tegus undergo winter dormancy (hibernation) to cope with colder temperatures, and while this behavior may facilitate invasion into more temperate regions, it may also present management opportunities. We studied the thermal habits of wild S. merianae within their invaded range in southern Florida, USA. We used radiotelemetry and trail cameras to verify aboveground behaviors, and temperature dataloggers to monitor surface (sun-exposed [Te] and shaded [Ts]), ambient (Ta), subsurface ground (Th), and internal body (Tb) temperatures of a population of free-ranging tegus over several seasons. We evaluated thermal and behavioral data and identified five biologically significant periods: pre-hibernal, hibernal, cold snaps, hibernal-basking, and post-hibernal. We found tegus maintained thermal stability throughout the hibernal period, frequently at temperatures above available thermal microhabitats. Variation in Tb was lowest during hibernation and cold snaps and was less variable than subsurface temperatures despite not leaving their hibernaculum. Hibernal ingress and egress were best predicted by temperature differentials between exposed soil and ambient daily mean temperatures (Te − Ta) and daylength. Though we detected no sex differences, larger animals started hibernation sooner, stayed in hibernation longer, and retained higher fat stores over the study period. One individual did not hibernate, representing only the second record of this behavior. Despite limitations of these descriptive data, this is the first study finely detailing Tb of a population of wild, free-ranging S. merianae over multiple biologically significant time periods and to associate Tb with thermal habitats within its invasive range. Tegus' apparent ability for thermal stability expands the adaptability breadth of this species and underscores the invasion threat.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.3579","usgsCitation":"Currylow, A.F., Collier, M., Hanslowe, E.B., Falk, B., Cade, B.S., Moy, S.E., Grajal-Puche, A., Ridgley, F.N., Reed, R., and Yackel Adams, A.A., 2021, Thermal stability of an adaptable, invasive ectotherm: Argentine giant tegus in the Greater Everglades ecosystem, USA: Ecosphere, v. 12, no. 9, p. 1-18, https://doi.org/10.1002/ecs2.3579.","productDescription":"e03579, 18 p.","startPage":"1","endPage":"18","ipdsId":"IP-118593","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":450869,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.3579","text":"Publisher Index Page"},{"id":436206,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9QCSKRR","text":"USGS data release","linkHelpText":"Dataset from 2015-2016 thermal and behavior monitoring of Argentine giant tegus in Everglades, Florida"},{"id":388960,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Greater Everglades, Southern Glades Wildlife Environmental Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.57441711425781,\n 25.397692428732874\n ],\n [\n -80.57510375976562,\n 25.28536903925994\n ],\n [\n -80.44464111328125,\n 25.28723160236171\n ],\n [\n -80.47039031982422,\n 25.40327484644246\n ],\n [\n -80.55896759033203,\n 25.403584973186703\n ],\n [\n -80.57441711425781,\n 25.397692428732874\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"12","issue":"9","noUsgsAuthors":false,"publicationDate":"2021-09-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Currylow, Andrea Faye 0000-0003-1631-8964","orcid":"https://orcid.org/0000-0003-1631-8964","contributorId":257055,"corporation":false,"usgs":true,"family":"Currylow","given":"Andrea","email":"","middleInitial":"Faye","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":822692,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Collier, Michelle 0000-0001-5715-448X","orcid":"https://orcid.org/0000-0001-5715-448X","contributorId":265393,"corporation":false,"usgs":false,"family":"Collier","given":"Michelle","email":"","affiliations":[{"id":54672,"text":"National Park Service, Everglades National Park, 40001 SR 9336, Homestead, Florida 33034, USA","active":true,"usgs":false}],"preferred":false,"id":822693,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hanslowe, Emma B. 0000-0003-4331-6729","orcid":"https://orcid.org/0000-0003-4331-6729","contributorId":265394,"corporation":false,"usgs":false,"family":"Hanslowe","given":"Emma","email":"","middleInitial":"B.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":822694,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Falk, Bryan G. 0000-0002-9690-5626","orcid":"https://orcid.org/0000-0002-9690-5626","contributorId":265395,"corporation":false,"usgs":false,"family":"Falk","given":"Bryan G.","affiliations":[{"id":54672,"text":"National Park Service, Everglades National Park, 40001 SR 9336, Homestead, Florida 33034, USA","active":true,"usgs":false}],"preferred":false,"id":822695,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cade, Brian S. 0000-0001-9623-9849 cadeb@usgs.gov","orcid":"https://orcid.org/0000-0001-9623-9849","contributorId":1278,"corporation":false,"usgs":true,"family":"Cade","given":"Brian","email":"cadeb@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":822696,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Moy, Sarah E.","contributorId":265396,"corporation":false,"usgs":false,"family":"Moy","given":"Sarah","email":"","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":822697,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Grajal-Puche, Alejandro 0000-0003-1807-4799","orcid":"https://orcid.org/0000-0003-1807-4799","contributorId":265397,"corporation":false,"usgs":false,"family":"Grajal-Puche","given":"Alejandro","affiliations":[{"id":54677,"text":"Department of Biological Sciences, P.O. Box 5640, Northern Arizona University, Flagstaff, Arizona 86011, USA","active":true,"usgs":false}],"preferred":false,"id":822698,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ridgley, Frank N. 0000-0002-6819-2577","orcid":"https://orcid.org/0000-0002-6819-2577","contributorId":265398,"corporation":false,"usgs":false,"family":"Ridgley","given":"Frank","email":"","middleInitial":"N.","affiliations":[{"id":54678,"text":"Zoo Miami, Conservation and Research Department, 12400 SW 152nd St., Miami, Florida 33177, USA","active":true,"usgs":false}],"preferred":false,"id":822699,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Reed, Robert 0000-0001-8349-6168 reedr@usgs.gov","orcid":"https://orcid.org/0000-0001-8349-6168","contributorId":152301,"corporation":false,"usgs":true,"family":"Reed","given":"Robert","email":"reedr@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":822700,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Yackel Adams, Amy A. 0000-0002-7044-8447 yackela@usgs.gov","orcid":"https://orcid.org/0000-0002-7044-8447","contributorId":3116,"corporation":false,"usgs":true,"family":"Yackel Adams","given":"Amy","email":"yackela@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":822701,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70224627,"text":"70224627 - 2021 - Hotspot dune erosion on an intermediate beach","interactions":[],"lastModifiedDate":"2021-10-01T13:25:35.688431","indexId":"70224627","displayToPublicDate":"2021-09-08T08:21:53","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1262,"text":"Coastal Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Hotspot dune erosion on an intermediate beach","docAbstract":"

A large, low pressure Nor’easter storm and Hurricane Joaquin contributed to multiple weeks of sustained, elevated wave and water level conditions along the southeastern Atlantic coast of the United States in Fall 2015. Sea level anomalies in excess of 1 m and offshore wave heights of up to 4 m were recorded during these storms, as observed at the U.S. Army Corps of Engineers’ Field Research Facility in Duck, NC, USA. In response to these energetic oceanographic conditions, there were highly variable morphologic changes to the dune over short spatial scales (<km) which included a range of responses from vertical dune scarping to no measureable response. The portion of the study area with the largest dune erosion occurred at a location fronted by an abnormally deep nearshore bathymetric feature, which altered surf-zone waves and hydrodynamics. The pre-storm beach and dune topography also varied throughout the study area, additionally influencing the frequency of dune collision and contributing to the spatially variable erosion patterns. This work uses field datasets and numerical modeling tools to investigate the causation of hotspot dune erosion at the Field Research Facility. Three different numerical models were tested against the available data in order to assess model skill at resolving complex spatial dune erosion patterns. The three models successfully reproduce the general spatial trends in alongshore variable responses, although not necessarily the details of profile response or net erosion magnitude. Analysis of the model outputs, in conjunction with the available field data, suggests that the observed hotspot dune erosion is related to a complex combination of both topographic and bathymetric controls on the processes driving dune erosion. Therefore, the most simplistic model tested, which only accounts for alongshore variations in topographic profile details, can only predict hotspot dune erosion in locations where steep beach and/or dune topography is the primary control on collisional dune impacts. The higher fidelity models, which account for feedback effects from subaqueous morphology, are similarly able to predict the locations of maximum hotspot erosion, but are sensitive to beach over-steepening and/or errors in wave runup calculations that can lead to over-prediction of simulated dune erosion. This work highlights that numerous existing tools are capable of identifying the foredune regions at most risk from hotspot erosion, as well as the need for continued research to improve representation of all relevant intra-storm morphodynamic processes.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.coastaleng.2021.103998","usgsCitation":"Cohn, N., Brodie, K., Johnson, B., and Palmsten, M.L., 2021, Hotspot dune erosion on an intermediate beach: Coastal Engineering, v. 170, 103998, 21 p., https://doi.org/10.1016/j.coastaleng.2021.103998.","productDescription":"103998, 21 p.","ipdsId":"IP-124727","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":450872,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.coastaleng.2021.103998","text":"Publisher Index Page"},{"id":390112,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"170","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Cohn, Nicholas","contributorId":266145,"corporation":false,"usgs":false,"family":"Cohn","given":"Nicholas","affiliations":[{"id":13502,"text":"US Army Corps of Engineers","active":true,"usgs":false}],"preferred":false,"id":824404,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brodie, Katherine","contributorId":266146,"corporation":false,"usgs":false,"family":"Brodie","given":"Katherine","affiliations":[{"id":13502,"text":"US Army Corps of Engineers","active":true,"usgs":false}],"preferred":false,"id":824405,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Bradley","contributorId":266147,"corporation":false,"usgs":false,"family":"Johnson","given":"Bradley","affiliations":[{"id":13502,"text":"US Army Corps of Engineers","active":true,"usgs":false}],"preferred":false,"id":824406,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Palmsten, Margaret L. 0000-0002-6424-2338","orcid":"https://orcid.org/0000-0002-6424-2338","contributorId":239955,"corporation":false,"usgs":true,"family":"Palmsten","given":"Margaret","email":"","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":824407,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70223889,"text":"70223889 - 2021 - Detrital signals of coastal erosion and fluvial sediment supply during glacio-eustatic sea-level rise, Southern California, USA","interactions":[],"lastModifiedDate":"2021-11-26T17:58:49.478553","indexId":"70223889","displayToPublicDate":"2021-09-08T08:14:44","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Detrital signals of coastal erosion and fluvial sediment supply during glacio-eustatic sea-level rise, Southern California, USA","docAbstract":"

Coastal erosion, including sea-cliff retreat, represents both an important component of some sediment budgets and a significant threat to coastal communities in the face of rising sea level. Despite the importance of predicting future rates of coastal erosion, few prehistoric constraints exist on the relative importance of sediment supplied by coastal erosion versus rivers with respect to past sea-level change. We used detrital zircon U-Pb geochronology as a provenance tracer of river and deep-sea fan deposits from the Southern California Borderland (United States) to estimate relative sediment contributions from rivers and coastal erosion from late Pleistocene to present. Mixture modeling of submarine canyon and fan samples indicates that detrital zircon was dominantly (55%–86%) supplied from coastal erosion during latest Pleistocene (ca. 13 ka) sea-level rise, with lesser contributions from rivers, on the basis of unique U-Pb age modes relative to local Peninsular Ranges bedrock sources. However, sediment that was deposited when sea level was stable at its highest and lowest points since the Last Glacial Maximum was dominantly supplied by rivers, suggesting decreased coastal erosion during periods of sea-level stability. We find that relative sediment supply from coastal erosion is strongly dependent on climate state, corroborating predictions of enhanced coastal erosion during future sea-level rise.

","language":"English","publisher":"Geological Society of America","doi":"10.1130/G49430.1","usgsCitation":"Sharman, G.R., Covault, J.A., Stockli, D.F., Sickmann, Z., Malkowski, M., and Johnstone, S., 2021, Detrital signals of coastal erosion and fluvial sediment supply during glacio-eustatic sea-level rise, Southern California, USA: Geology, v. 49, no. 12, p. 1501-1505, https://doi.org/10.1130/G49430.1.","productDescription":"5 p.","startPage":"1501","endPage":"1505","ipdsId":"IP-125301","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":450875,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/g49430.1","text":"Publisher Index Page"},{"id":389142,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Southern California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.43261718749999,\n 32.55607364492026\n ],\n [\n -116.38916015624999,\n 32.55607364492026\n ],\n [\n -116.38916015624999,\n 33.815666308702774\n ],\n [\n -118.43261718749999,\n 33.815666308702774\n ],\n [\n -118.43261718749999,\n 32.55607364492026\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"49","issue":"12","noUsgsAuthors":false,"publicationDate":"2021-09-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Sharman, Glenn R.","contributorId":196537,"corporation":false,"usgs":false,"family":"Sharman","given":"Glenn","email":"","middleInitial":"R.","affiliations":[{"id":34621,"text":"Bureau of Economic Geology, Jackson School of Geosciences, The University of Texas at Austin, Austin, TX, USA","active":true,"usgs":false}],"preferred":false,"id":823134,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Covault, Jacob A","contributorId":265637,"corporation":false,"usgs":false,"family":"Covault","given":"Jacob","email":"","middleInitial":"A","affiliations":[{"id":54745,"text":"Bureau of Economic Geology, Jackson School of Geosciences, The University of Texas at Austin, Austin, TX","active":true,"usgs":false}],"preferred":false,"id":823135,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stockli, Daniel F. 0000-0001-7652-2129","orcid":"https://orcid.org/0000-0001-7652-2129","contributorId":254375,"corporation":false,"usgs":false,"family":"Stockli","given":"Daniel","email":"","middleInitial":"F.","affiliations":[{"id":12430,"text":"University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":823136,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sickmann, Zack","contributorId":265638,"corporation":false,"usgs":false,"family":"Sickmann","given":"Zack","email":"","affiliations":[{"id":54746,"text":"Institute for Geophysics, Jackson School of Geosciences, The University of Texas at Austin, Austin, TX","active":true,"usgs":false}],"preferred":false,"id":823137,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Malkowski, Matthew A.","contributorId":221753,"corporation":false,"usgs":false,"family":"Malkowski","given":"Matthew A.","affiliations":[{"id":40415,"text":". Department of Geological Sciences, Stanford University, Stanford CA 94305","active":true,"usgs":false}],"preferred":false,"id":823138,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnstone, Samuel 0000-0002-3945-2499","orcid":"https://orcid.org/0000-0002-3945-2499","contributorId":207545,"corporation":false,"usgs":true,"family":"Johnstone","given":"Samuel","email":"","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":823139,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70223821,"text":"70223821 - 2021 - Advancing cave detection using terrain analysis and thermal imagery","interactions":[],"lastModifiedDate":"2021-09-09T12:48:45.771312","indexId":"70223821","displayToPublicDate":"2021-09-08T07:47:23","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Advancing cave detection using terrain analysis and thermal imagery","docAbstract":"
Since the initial experiments nearly 50 years ago, techniques for detecting caves using airborne and spacecraft acquired thermal imagery have improved markedly. These advances are largely due to a combination of higher instrument sensitivity, modern computing systems, and processor-intensive analytical techniques. Through applying these advancements, our goals were to: (1) Determine the efficacy of methods designed for terrain analysis and applied to thermal imagery; (2) evaluate the usefulness of predawn and midday imagery for detecting caves; and (3) ascertain which imagery type (predawn, midday, or the difference between those two times) was most informative. Using forward stepwise logistic (FSL) and Least Absolute Shrinkage and Selection Operator (LASSO) regression analyses for model selection, and a thermal imagery dataset acquired from the Mojave Desert, California, we examined the efficacy of three well-known terrain descriptors (i.e., slope, topographic position index (TPI), and curvature) on thermal imagery for cave detection. We also included the actual, untransformed thermal DN values (hereafter “unenhanced thermal”) as a fourth dataset. Thereafter, we compared the thermal signatures of known cave entrances to all non-cave surface locations. We determined these terrain-based analytical methods, which described the “shape” of the thermal landscape, hold significant promise for cave detection. All imagery types produced similar results. Down-selected covariates per imagery type, based upon the FSL models, were: Predawn— slope, TPI, curvature at 0 m from cave entrance, as well as slope at 1 m from cave entrance; midday— slope, TPI, and unenhanced thermal at 0 m from cave entrance; and difference— TPI and slope at 0 m from cave entrance, as well as unenhanced thermal and TPI at 3.5 m from cave entrance. We provide recommendations for future research directions in terrestrial and planetary cave detection using thermal imagery.
","language":"English","publisher":"MDPI","doi":"10.3390/rs13183578","usgsCitation":"Wynne, J.J., Jenness, J., Sonderegger, D., Titus, T.N., Jhabvala, M.D., and Cabrol, N.A., 2021, Advancing cave detection using terrain analysis and thermal imagery: Remote Sensing, v. 13, no. 8, 3578, 25 p., https://doi.org/10.3390/rs13183578.","productDescription":"3578, 25 p.","ipdsId":"IP-098740","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":450878,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs13183578","text":"Publisher Index Page"},{"id":436207,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9NF0L2I","text":"USGS data release","linkHelpText":"Aircraft-Borne Thermal Imagery and Derived Terrain Analysis Layers, Pisgah Lava Field, California"},{"id":388995,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"8","noUsgsAuthors":false,"publicationDate":"2021-09-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Wynne, J. Judson","contributorId":265476,"corporation":false,"usgs":false,"family":"Wynne","given":"J.","email":"","middleInitial":"Judson","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":822787,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jenness, Jeff","contributorId":265477,"corporation":false,"usgs":false,"family":"Jenness","given":"Jeff","affiliations":[{"id":54685,"text":"Jenness Enterprises","active":true,"usgs":false}],"preferred":false,"id":822788,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sonderegger, Derek","contributorId":265478,"corporation":false,"usgs":false,"family":"Sonderegger","given":"Derek","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":822789,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Titus, Timothy N. 0000-0003-0700-4875 ttitus@usgs.gov","orcid":"https://orcid.org/0000-0003-0700-4875","contributorId":146,"corporation":false,"usgs":true,"family":"Titus","given":"Timothy","email":"ttitus@usgs.gov","middleInitial":"N.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":822790,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jhabvala, Murzy D.","contributorId":265479,"corporation":false,"usgs":false,"family":"Jhabvala","given":"Murzy","email":"","middleInitial":"D.","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":822791,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cabrol, Nathalie A.","contributorId":51382,"corporation":false,"usgs":true,"family":"Cabrol","given":"Nathalie","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":822861,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70223828,"text":"70223828 - 2021 - Digital elevation models: Terminology and definitions","interactions":[],"lastModifiedDate":"2021-09-09T12:28:36.93368","indexId":"70223828","displayToPublicDate":"2021-09-08T07:27:03","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Digital elevation models: Terminology and definitions","docAbstract":"
Digital elevation models (DEMs) provide fundamental depictions of the three-dimensional shape of the Earth’s surface and are useful to a wide range of disciplines. Ideally, DEMs record the interface between the atmosphere and the lithosphere using a discrete two-dimensional grid, with complexities introduced by the intervening hydrosphere, cryosphere, biosphere, and anthroposphere. The treatment of DEM surfaces, affected by these intervening spheres, depends on their intended use, and the characteristics of the sensors that were used to create them. DEM is a general term, and more specific terms such as digital surface model (DSM) or digital terrain model (DTM) record the treatment of the intermediate surfaces. Several global DEMs generated with optical (visible and near-infrared) sensors and synthetic aperture radar (SAR), as well as single/multi-beam sonars and products of satellite altimetry, share the common characteristic of a georectified, gridded storage structure. Nevertheless, not all DEMs share the same vertical datum, not all use the same convention for the area on the ground represented by each pixel in the DEM, and some of them have variable data spacings depending on the latitude. This paper highlights the importance of knowing, understanding and reflecting on the sensor and DEM characteristics and consolidates terminology and definitions of key concepts to facilitate a common understanding among the growing community of DEM users, who do not necessarily share the same background. 
","language":"English","publisher":"MDPI","doi":"10.3390/rs13183581","usgsCitation":"Guth, P.L., Van Niekerk, A., Grohmann, C., Muller, J., Hawker, L., Florinsky, I.V., Gesch, D.B., Reuter, H.I., Herrera-Cruz, V., Riazanoff, S., Lopez-Vazquez, C., Carabajal, C.C., Albinet, C., and Strobl, P., 2021, Digital elevation models: Terminology and definitions: Remote Sensing, v. 13, no. 18, 3581, 19 p., https://doi.org/10.3390/rs13183581.","productDescription":"3581, 19 p.","ipdsId":"IP-131782","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":450882,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs13183581","text":"Publisher Index 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Critical mineral resources titanium, zirconium, and rare earth elements occur in placer deposits over vast parts of the U.S. Atlantic Coastal Plain. Key questions regarding provenance, pathways of minerals to deposit sites, and relations to geologic features remain unexplained. As part of a national effort to collect data over regions prospective for critical minerals, the first public high-resolution aeroradiometric survey over the U.S. Atlantic Coastal Plain was conducted over Quaternary sediments in South Carolina. The new data provide an unprecedented view of potential deposits by imaging Th-bearing minerals in the heavy mineral assemblage. Sand ridges show the highest radiometric Th values with localized, linear anomalies, especially along the shoreface and in areas reworked by multiple processes and/or during multiple episodes. Estuarine areas with finer-grained sediments show lower, distributed Th anomalies. Th values averaged over geologic unit areas are similar for both environments, suggesting that heavy minerals are present but have not been locally concentrated in the lower-energy estuarine environments. Radiometric K highlights immature minerals such as mica and potassium feldspar. K is elevated within shallow sediments younger than ca. 130 ka, an attribute that persists in regional data from northern South Carolina to northern Florida. Both K and Th are elevated over the floodplains of the Santee River and other rivers with headwaters in the igneous and metamorphic Piedmont Terrane. The persistence of K anomalies for distances of more than 100 km from the Santee River floodplain suggests that heavy minerals are delivered from the Piedmont to offshore areas by major rivers, transported along the coast by the longshore current, and redeposited onshore by marine processes.

","language":"English","publisher":"Geological Society of America","doi":"10.1130/GSATG512A.1","usgsCitation":"Shah, A.K., Morrow, R., Pace, M., Harris, M., and Doar, W., 2021, Mapping critical minerals from the sky: GSA Today, v. 31, 7 p., https://doi.org/10.1130/GSATG512A.1.","productDescription":"7 p.","ipdsId":"IP-122675","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":450884,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/gsatg512a.1","text":"Publisher Index Page"},{"id":389590,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida, Georgia, South Carolina","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -79.189453125,\n 34.288991865037524\n ],\n [\n -80.4638671875,\n 33.90689555128866\n ],\n [\n -81.58447265624999,\n 32.861132322810946\n ],\n [\n -82.11181640625,\n 31.93351676190369\n ],\n [\n -82.28759765625,\n 30.95876857077987\n ],\n [\n -82.02392578125,\n 30.050076521698735\n ],\n [\n -81.6943359375,\n 29.286398892934763\n ],\n [\n -80.9912109375,\n 29.209713225868185\n ],\n [\n -80.7275390625,\n 29.592565403314087\n ],\n [\n -80.96923828125,\n 30.732392734006083\n ],\n [\n -80.35400390625,\n 31.914867503276223\n ],\n [\n -79.21142578125,\n 32.37996146435729\n ],\n [\n -78.24462890625,\n 33.119150226768866\n ],\n [\n -78.15673828125,\n 33.63291573870479\n ],\n [\n -79.013671875,\n 34.30714385628804\n ],\n [\n -79.189453125,\n 34.288991865037524\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"31","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Shah, Anjana K. 0000-0002-3198-081X ashah@usgs.gov","orcid":"https://orcid.org/0000-0002-3198-081X","contributorId":2297,"corporation":false,"usgs":true,"family":"Shah","given":"Anjana","email":"ashah@usgs.gov","middleInitial":"K.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":823741,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morrow, Robert 0000-0001-5282-2389","orcid":"https://orcid.org/0000-0001-5282-2389","contributorId":265921,"corporation":false,"usgs":false,"family":"Morrow","given":"Robert","email":"","affiliations":[{"id":54824,"text":"SC Geological Survey","active":true,"usgs":false}],"preferred":false,"id":823742,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pace, Michael 0000-0003-2770-5724","orcid":"https://orcid.org/0000-0003-2770-5724","contributorId":216678,"corporation":false,"usgs":true,"family":"Pace","given":"Michael","email":"","affiliations":[],"preferred":true,"id":823743,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harris, M.Scott 0000-0002-9220-788X","orcid":"https://orcid.org/0000-0002-9220-788X","contributorId":265922,"corporation":false,"usgs":false,"family":"Harris","given":"M.Scott","email":"","affiliations":[{"id":35839,"text":"College of Charleston","active":true,"usgs":false}],"preferred":false,"id":823744,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Doar, William 0000-0002-9895-8422","orcid":"https://orcid.org/0000-0002-9895-8422","contributorId":265923,"corporation":false,"usgs":false,"family":"Doar","given":"William","email":"","affiliations":[{"id":54824,"text":"SC Geological Survey","active":true,"usgs":false}],"preferred":false,"id":823745,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}